This work is highly correlated to my first homework in this course. I will once again use the World Value survey to asses the different social and life values based on the HDI index provided by the United Nations.
What I want to asses in this homework is if there is a correlation between some social tendencies (recorded by the World Value Survey through a questionnaire) and a low HDI index, for example is a negative consideration of democracy a predictor for a low HDI index?
First let’s import all the Libraries needed for this project
library(randomForest)
## randomForest 4.7-1.1
## Type rfNews() to see new features/changes/bug fixes.
library(shapper)
library(GGally)
## Loading required package: ggplot2
##
## Attaching package: 'ggplot2'
## The following object is masked from 'package:randomForest':
##
## margin
## Registered S3 method overwritten by 'GGally':
## method from
## +.gg ggplot2
library(ggplot2)
library(mice)
##
## Attaching package: 'mice'
## The following object is masked from 'package:stats':
##
## filter
## The following objects are masked from 'package:base':
##
## cbind, rbind
library(VIM)
## Loading required package: colorspace
## Loading required package: grid
## VIM is ready to use.
## Suggestions and bug-reports can be submitted at: https://github.com/statistikat/VIM/issues
##
## Attaching package: 'VIM'
## The following object is masked from 'package:datasets':
##
## sleep
library(caret)
## Loading required package: lattice
library(tidyr)
library(factoextra)
## Welcome! Want to learn more? See two factoextra-related books at https://goo.gl/ve3WBa
library(cluster)
library(mclust)
## Package 'mclust' version 6.0.0
## Type 'citation("mclust")' for citing this R package in publications.
##
## Attaching package: 'mclust'
## The following object is masked from 'package:VIM':
##
## diabetes
library(kernlab)
##
## Attaching package: 'kernlab'
## The following object is masked from 'package:mice':
##
## convergence
## The following object is masked from 'package:ggplot2':
##
## alpha
library(mice)
Here I will load the data, W7R (Wave 7 Reduced) is an already filtered version of the EVS_WVS_joint2, I will use this is as it’s focused on readability (columns renamed) and social attitudes.
Data2 in non other than the dataset containing the Human Development Index (HDI) produced by the United Nations Development Programme, it has other columns that are not HDI but for this analysis it is the thing I value the most
data = load("W7R.rds")
data2 = read.csv("human-development-index-hdi-2014.csv", header = TRUE, stringsAsFactors = FALSE, fileEncoding = "UTF-8")
## Warning in scan(file = file, what = what, sep = sep, quote = quote, dec = dec,
## : invalid input found on input connection
## 'human-development-index-hdi-2014.csv'
Since both datasets have differents standard for the names of the countries this list is for unifying that.
rename_mapping <- c(
"Bolivia (Plurinational State of)" = "Bolivia",
"Bosnia and Herzegovina" = "Bosnia",
"Czech Republic" = "Czechia",
"Hong Kong, China (SAR)" = "HongKong-SAR",
"Iran (Islamic Republic of)" = "Iran",
"Korea (Republic of)" = "South-Korea",
"New Zealand" = "New-Zealand",
"Russian Federation" = "Russia",
"Viet Nam" = "Vietnam",
"The former Yugoslav Republic of Macedonia" = "North-Macedonia",
"United Kingdom" = "Great-Britain",
"United States" = "United-States"
)
data2$Location <- ifelse(data2$Location %in% names(rename_mapping), rename_mapping[data2$Location], data2$Location)
This is part is for creating the column in HDI in W7R and then appending the correct HDI value from the United Nations dataset
W7R$HDI <- NA
for (i in 1:nrow(W7R)) {
country <- W7R$cntry_name[i]
match_rows <- which(data2$Location == country)
if (length(match_rows) > 0) {
W7R$HDI[i] <- data2$Human.Development.Index..HDI.[match_rows[1]]
}
}
print(unique(W7R$HDI))
## [1] 0.733 0.845 0.751 0.836 0.935 0.885 0.570 0.662 0.755 0.782 0.536 0.798
## [13] NA 0.832 0.727 0.720 0.818 0.850 0.870 0.923 0.732 0.861 0.883 0.888
## [25] 0.754 0.916 0.865 0.627 0.910 0.828 0.899 0.684 0.766 0.654 0.873 0.891
## [37] 0.788 0.748 0.898 0.655 0.769 0.839 0.779 0.756 0.802 0.922 0.913 0.631
## [49] 0.514 0.944 0.538 0.734 0.668 0.843 0.830 0.793 0.771 0.844 0.666 0.880
## [61] 0.509 0.876 0.907 0.930 0.624 0.726 0.721 0.761 0.747 0.690 0.915
Here we will simply check and drop out from the analysis those countries that from W7R don’t have their HDI listed.
Those countries are the results of unique_countries_with_NA_HDI and are “Taiwan”, “Ethiopia”, “Macau” and “PuertoRico”.
rows_with_NA <- which(is.na(W7R$HDI))
countries_with_NA_HDI <- W7R$cntry_name[rows_with_NA]
unique_countries_with_NA_HDI <- unique(countries_with_NA_HDI)
unique_countries_with_NA_HDI
## [1] NA "Taiwan" "Ethiopia" "Macau" "PuertoRico"
W7R <- W7R[!(W7R$cntry_name %in% unique_countries_with_NA_HDI), ]
rownames(W7R) <- NULL
Let’s have a preliminary summary of the Dataset.
So since the 3 biggest indicators for HDI are: education, expected life and GNI per capita. Thus I have to drop some variables that would just be too highly correlated (and would not tell us much) with HDI, those are income level and education level and age (that will be dropped later on). I will also drop the column “E181_EVS5” that is what party the person has voted for. It would be great to do again a binary classification in populist and non populist like the last homework, but finding obscure parties in third world countries is a lot of work that I don’t want to take as of right now, maybe in a future project.
We can clearly see we have a lot NAs
names(W7R)
## [1] "cntry_name" "E181_EVS5" "imp_fml" "imp_frnd" "imp_leis"
## [6] "imp_polt" "imp_wrk" "imp_rlg" "hap_feel" "life_sat"
## [11] "frdm_cntl" "fgt_cntr" "plc_int" "plc_eql" "plc_prpt"
## [16] "plc_rspn" "plc_cmpt" "dmc_tax" "dmc_rlg" "dmc_ppl"
## [21] "dmc_aid" "dmc_coup" "dmc_rght" "dmc_wmn" "dmc_eql"
## [26] "dmc_obey" "dmc_imp" "dmc_cnt" "el_fair" "el_opp"
## [31] "el_tv" "el_brb" "el_jrn" "el_off" "el_rch"
## [36] "el_thr" "c_chr" "c_arm" "c_prs" "c_uns"
## [41] "c_plc" "c_prl" "c_cvl" "c_eu1" "c_gvr"
## [46] "c_prt" "c_cmp" "c_env" "c_jst" "c_onu"
## [51] "ps_sat" "ps_lead" "ps_exp" "ps_arm" "ps_dmc"
## [56] "cq_mnr" "cq_ind" "cq_hwr" "cq_rsp" "cq_img"
## [61] "cq_tlr" "cq_thr" "cq_prs" "cq_rlg" "cq_uns"
## [66] "cq_obd" "trs_most" "trs_faml" "trs_ngh" "trs_knw"
## [71] "trs_met" "trs_rlg" "trs_ntn" "men_lead" "men_uni"
## [76] "men_chwm" "men_bsn" "post_mat" "env_vs_grw" "job_men"
## [81] "job_ntn" "hom_prn" "dut_chl" "dut_ill" "fc_work"
## [86] "fc_auth" "js_bnft" "js_fare" "js_tax" "js_brib"
## [91] "js_hom" "js_prst" "js_abr" "js_div" "js_euth"
## [96] "js_suic" "js_sex" "js_vlnc" "js_dthp" "imp_imm"
## [101] "cls_eu" "cls_wrl" "cls_vlg" "cls_rgn" "cls_cnt"
## [106] "gvr_vds" "gvr_eml" "gvr_inf" "pol_sp" "pol_rad"
## [111] "sex" "age" "nativ" "n_child" "edu_lvl"
## [116] "incm_lvl" "city_siz" "rel" "prd" "HDI"
dim(W7R)
## [1] 124367 120
str(W7R)
## 'data.frame': 124367 obs. of 120 variables:
## $ cntry_name: chr "Albania" "Albania" "Albania" "Albania" ...
## $ E181_EVS5 : num 866 801 802 802 801 866 801 802 866 866 ...
## $ imp_fml : num 2 1 1 1 1 1 1 1 1 1 ...
## $ imp_frnd : num 1 1 2 2 1 3 2 2 2 2 ...
## $ imp_leis : num 2 4 2 2 2 3 2 2 2 2 ...
## $ imp_polt : num 3 4 4 4 4 4 1 4 4 3 ...
## $ imp_wrk : num 2 1 1 1 1 1 1 1 1 1 ...
## $ imp_rlg : num 2 1 1 2 3 2 3 2 2 2 ...
## $ hap_feel : num 3 3 2 1 1 2 2 1 1 2 ...
## $ life_sat : num 2 5 10 10 10 5 8 10 9 8 ...
## $ frdm_cntl : num 2 4 5 5 9 10 5 2 8 9 ...
## $ fgt_cntr : num 1 1 1 1 1 1 1 0 1 1 ...
## $ plc_int : num 2 2 4 4 4 4 2 2 4 2 ...
## $ plc_eql : num 1 5 1 10 4 1 1 10 10 10 ...
## $ plc_prpt : num 6 1 10 6 1 5 10 10 5 3 ...
## $ plc_rspn : num 1 1 10 1 1 5 1 1 5 2 ...
## $ plc_cmpt : num 1 1 10 1 1 7 1 1 3 1 ...
## $ dmc_tax : num 10 7 10 5 7 10 3 1 2 4 ...
## $ dmc_rlg : num 1 1 1 6 1 1 1 1 1 1 ...
## $ dmc_ppl : num 10 10 10 10 10 10 10 10 10 10 ...
## $ dmc_aid : num 9 6 10 8 8 10 4 10 10 2 ...
## $ dmc_coup : num 5 1 1 4 1 1 6 5 1 1 ...
## $ dmc_rght : num 9 7 10 10 6 10 4 10 10 10 ...
## $ dmc_wmn : num 10 10 10 10 10 10 10 10 10 10 ...
## $ dmc_eql : num NA 7 10 6 8 10 NA 10 2 3 ...
## $ dmc_obey : num 8 1 1 4 1 1 2 1 1 1 ...
## $ dmc_imp : num 10 10 10 10 10 10 8 9 10 10 ...
## $ dmc_cnt : num 1 10 8 9 7 1 6 4 3 7 ...
## $ el_fair : num 4 4 3 NA 4 4 3 4 3 3 ...
## $ el_opp : num 2 4 4 4 1 NA 2 4 4 4 ...
## $ el_tv : num 2 1 3 2 1 3 1 2 1 1 ...
## $ el_brb : num 1 1 2 1 1 1 1 1 1 1 ...
## $ el_jrn : num 3 4 1 4 2 3 3 4 3 2 ...
## $ el_off : num 1 4 2 3 4 3 2 4 3 3 ...
## $ el_rch : num 1 1 1 1 1 1 2 1 1 1 ...
## $ el_thr : num 1 2 3 4 1 NA 2 4 4 3 ...
## $ c_chr : num 2 1 2 3 3 1 3 4 3 3 ...
## $ c_arm : num 2 1 1 2 3 4 2 2 2 2 ...
## $ c_prs : num 4 4 4 4 3 3 2 3 3 3 ...
## $ c_uns : num NA 4 4 4 3 4 3 3 3 3 ...
## $ c_plc : num 2 2 1 3 1 4 2 2 3 3 ...
## $ c_prl : num 4 4 4 4 4 4 2 4 4 4 ...
## $ c_cvl : num 4 3 4 2 2 4 1 3 2 4 ...
## $ c_eu1 : num 2 1 1 3 1 2 3 3 2 3 ...
## $ c_gvr : num 4 4 3 4 4 4 2 3 3 4 ...
## $ c_prt : num 4 4 4 4 4 4 2 3 3 4 ...
## $ c_cmp : num NA 1 4 3 3 3 3 3 2 4 ...
## $ c_env : num 2 4 4 3 3 4 3 3 3 3 ...
## $ c_jst : num 4 1 4 4 2 4 3 3 3 4 ...
## $ c_onu : num 2 1 1 3 1 4 3 3 2 3 ...
## $ ps_sat : num 1 2 1 6 1 1 7 5 3 7 ...
## $ ps_lead : num 4 2 4 4 4 4 3 3 3 4 ...
## $ ps_exp : num 2 3 1 1 3 1 2 3 2 1 ...
## $ ps_arm : num 4 4 4 3 4 4 3 3 4 4 ...
## $ ps_dmc : num 2 1 1 1 1 1 1 1 1 1 ...
## $ cq_mnr : num 1 1 1 1 1 1 1 1 1 1 ...
## $ cq_ind : num 0 0 0 0 0 0 1 0 1 1 ...
## $ cq_hwr : num 1 0 1 1 0 0 1 0 0 0 ...
## $ cq_rsp : num 0 1 1 1 1 1 0 1 1 1 ...
## $ cq_img : num 0 0 0 0 0 0 0 0 1 0 ...
## $ cq_tlr : num 1 0 1 1 1 1 1 1 0 0 ...
## $ cq_thr : num 1 1 0 0 1 1 1 1 0 0 ...
## $ cq_prs : num 0 1 1 0 0 0 0 0 1 1 ...
## $ cq_rlg : num 0 0 0 1 0 1 0 0 0 0 ...
## $ cq_uns : num 0 1 0 0 1 0 0 1 0 1 ...
## $ cq_obd : num 0 0 0 0 0 0 0 0 0 0 ...
## $ trs_most : num 2 2 2 2 2 2 2 2 2 2 ...
## $ trs_faml : num 1 1 1 1 1 1 1 1 1 1 ...
## $ trs_ngh : num 1 1 3 1 2 3 3 4 2 2 ...
## $ trs_knw : num 2 1 1 2 1 1 2 4 1 1 ...
## $ trs_met : num 3 4 4 4 4 4 3 4 4 4 ...
## $ trs_rlg : num 2 2 1 2 4 1 2 4 2 4 ...
## $ trs_ntn : num 2 2 1 2 4 1 2 4 2 4 ...
## $ men_lead : num 4 4 4 4 2 1 4 4 3 4 ...
## $ men_uni : num 4 4 4 4 4 4 4 4 4 4 ...
## $ men_chwm : num 2 3 4 2 2 1 2 3 3 2 ...
## $ men_bsn : num 4 4 4 2 1 2 3 4 2 4 ...
## $ post_mat : num 2 2 1 2 2 2 3 2 3 3 ...
## $ env_vs_grw: num 1.5 2 2 1.5 2 2 1 1 1 1 ...
## $ job_men : num 5 5 5 3 2 3 4 5 2 5 ...
## $ job_ntn : num 3 3 1 1 2 1 2 2 2 2 ...
## $ hom_prn : num 4 NA 5 5 5 5 4 2 3 2 ...
## $ dut_chl : num 2 1 4 5 1 5 4 4 3 5 ...
## $ dut_ill : num 1 1 1 1 1 1 2 2 2 2 ...
## $ fc_work : num 3 3 3 3 3 3 3 2 3 3 ...
## $ fc_auth : num 1 1 1 1 1 1 2 3 1 3 ...
## $ js_bnft : num 1 1 1 1 1 1 1 1 1 1 ...
## $ js_fare : num 1 1 1 1 1 1 1 1 1 1 ...
## $ js_tax : num 1 5 1 1 1 1 1 1 1 1 ...
## $ js_brib : num 1 5 1 1 1 3 5 1 1 2 ...
## $ js_hom : num 1 5 1 1 1 1 1 7 3 2 ...
## $ js_prst : num 1 10 1 1 1 1 1 1 1 2 ...
## $ js_abr : num 1 5 3 5 5 3 1 1 5 6 ...
## $ js_div : num 4 5 5 5 5 4 2 1 5 7 ...
## $ js_euth : num 1 2 2 1 5 1 1 1 1 1 ...
## $ js_suic : num 1 1 1 1 1 1 1 1 1 1 ...
## $ js_sex : num 1 1 1 1 1 1 1 1 1 3 ...
## $ js_vlnc : num 1 1 1 1 1 1 1 1 1 1 ...
## $ js_dthp : num 8 5 10 5 1 1 1 1 3 2 ...
## [list output truncated]
summary(W7R)
## cntry_name E181_EVS5 imp_fml imp_frnd
## Length:124367 Min. : 801 Min. :1.000 Min. :1.000
## Class :character 1st Qu.:20801 1st Qu.:1.000 1st Qu.:1.000
## Mode :character Median :35205 Median :1.000 Median :2.000
## Mean :40768 Mean :1.117 Mean :1.676
## 3rd Qu.:64314 3rd Qu.:1.000 3rd Qu.:2.000
## Max. :82666 Max. :4.000 Max. :4.000
## NA's :78262 NA's :319 NA's :464
## imp_leis imp_polt imp_wrk imp_rlg
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:1.000 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:1.000
## Median :2.000 Median :3.000 Median :1.000 Median :2.000
## Mean :1.765 Mean :2.642 Mean :1.547 Mean :2.156
## 3rd Qu.:2.000 3rd Qu.:3.000 3rd Qu.:2.000 3rd Qu.:3.000
## Max. :4.000 Max. :4.000 Max. :4.000 Max. :4.000
## NA's :783 NA's :1471 NA's :1366 NA's :1414
## hap_feel life_sat frdm_cntl fgt_cntr
## Min. :1.000 Min. : 1.000 Min. : 1.000 Min. :0.000
## 1st Qu.:1.000 1st Qu.: 6.000 1st Qu.: 6.000 1st Qu.:0.000
## Median :2.000 Median : 8.000 Median : 8.000 Median :1.000
## Mean :1.868 Mean : 7.217 Mean : 7.203 Mean :0.694
## 3rd Qu.:2.000 3rd Qu.: 9.000 3rd Qu.: 9.000 3rd Qu.:1.000
## Max. :4.000 Max. :10.000 Max. :10.000 Max. :1.000
## NA's :1130 NA's :569 NA's :1441 NA's :10486
## plc_int plc_eql plc_prpt plc_rspn
## Min. :1.000 Min. : 1.000 Min. : 1.000 Min. : 1.000
## 1st Qu.:2.000 1st Qu.: 4.000 1st Qu.: 4.000 1st Qu.: 3.000
## Median :3.000 Median : 6.000 Median : 5.000 Median : 6.000
## Mean :2.655 Mean : 5.971 Mean : 5.531 Mean : 5.646
## 3rd Qu.:3.000 3rd Qu.: 8.000 3rd Qu.: 8.000 3rd Qu.: 8.000
## Max. :4.000 Max. :10.000 Max. :10.000 Max. :10.000
## NA's :769 NA's :2111 NA's :6542 NA's :1835
## plc_cmpt dmc_tax dmc_rlg dmc_ppl
## Min. : 1.000 Min. : 0.000 Min. : 0.000 Min. : 0.00
## 1st Qu.: 1.000 1st Qu.: 5.000 1st Qu.: 1.000 1st Qu.: 7.00
## Median : 4.000 Median : 7.000 Median : 3.000 Median :10.00
## Mean : 3.927 Mean : 6.431 Mean : 3.682 Mean : 8.18
## 3rd Qu.: 5.000 3rd Qu.: 9.000 3rd Qu.: 6.000 3rd Qu.:10.00
## Max. :10.000 Max. :10.000 Max. :10.000 Max. :10.00
## NA's :2910 NA's :8588 NA's :10752 NA's :7231
## dmc_aid dmc_coup dmc_rght dmc_wmn
## Min. : 0.000 Min. : 0.000 Min. : 0.000 Min. : 0.00
## 1st Qu.: 5.000 1st Qu.: 1.000 1st Qu.: 6.000 1st Qu.: 7.00
## Median : 8.000 Median : 4.000 Median : 8.000 Median :10.00
## Mean : 7.086 Mean : 4.323 Mean : 7.632 Mean : 8.31
## 3rd Qu.:10.000 3rd Qu.: 7.000 3rd Qu.:10.000 3rd Qu.:10.00
## Max. :10.000 Max. :10.000 Max. :10.000 Max. :10.00
## NA's :7390 NA's :14352 NA's :10049 NA's :6536
## dmc_eql dmc_obey dmc_imp dmc_cnt
## Min. : 0.000 Min. : 0.000 Min. : 1.000 Min. : 1.000
## 1st Qu.: 4.000 1st Qu.: 3.000 1st Qu.: 8.000 1st Qu.: 5.000
## Median : 6.000 Median : 5.000 Median :10.000 Median : 6.000
## Mean : 6.011 Mean : 5.454 Mean : 8.523 Mean : 6.121
## 3rd Qu.: 9.000 3rd Qu.: 8.000 3rd Qu.:10.000 3rd Qu.: 8.000
## Max. :10.000 Max. :10.000 Max. :10.000 Max. :10.000
## NA's :8582 NA's :8887 NA's :2474 NA's :3992
## el_fair el_opp el_tv el_brb
## Min. :1.000 Min. :1.000 Min. :1.00 Min. :1.000
## 1st Qu.:1.000 1st Qu.:2.000 1st Qu.:2.00 1st Qu.:2.000
## Median :2.000 Median :3.000 Median :2.00 Median :3.000
## Mean :2.064 Mean :2.968 Mean :2.33 Mean :2.609
## 3rd Qu.:3.000 3rd Qu.:4.000 3rd Qu.:3.00 3rd Qu.:4.000
## Max. :4.000 Max. :4.000 Max. :4.00 Max. :4.000
## NA's :14195 NA's :21255 NA's :20460 NA's :17776
## el_jrn el_off el_rch el_thr
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:2.000 1st Qu.:3.000
## Median :2.000 Median :2.000 Median :3.000 Median :4.000
## Mean :2.378 Mean :2.192 Mean :2.556 Mean :3.243
## 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:4.000
## Max. :4.000 Max. :4.000 Max. :4.000 Max. :4.000
## NA's :15653 NA's :16563 NA's :20061 NA's :18886
## c_chr c_arm c_prs c_uns c_plc
## Min. :1.000 Min. :1.00 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:1.000 1st Qu.:1.00 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000
## Median :2.000 Median :2.00 Median :3.000 Median :3.000 Median :2.000
## Mean :2.306 Mean :2.13 Mean :2.764 Mean :2.744 Mean :2.288
## 3rd Qu.:3.000 3rd Qu.:3.00 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:3.000
## Max. :4.000 Max. :4.00 Max. :4.000 Max. :4.000 Max. :4.000
## NA's :3069 NA's :6806 NA's :2777 NA's :9887 NA's :2930
## c_prl c_cvl c_eu1 c_gvr
## Min. :1.000 Min. :1.000 Min. :1.00 Min. :1.000
## 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.00 1st Qu.:2.000
## Median :3.000 Median :3.000 Median :3.00 Median :3.000
## Mean :2.815 Mean :2.585 Mean :2.67 Mean :2.697
## 3rd Qu.:4.000 3rd Qu.:3.000 3rd Qu.:3.00 3rd Qu.:3.000
## Max. :4.000 Max. :4.000 Max. :4.00 Max. :4.000
## NA's :4281 NA's :4267 NA's :58097 NA's :4470
## c_prt c_cmp c_env c_jst
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000
## Median :3.000 Median :3.000 Median :2.000 Median :2.000
## Mean :3.019 Mean :2.674 Mean :2.441 Mean :2.482
## 3rd Qu.:4.000 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:3.000
## Max. :4.000 Max. :4.000 Max. :4.000 Max. :4.000
## NA's :4799 NA's :8352 NA's :8341 NA's :5054
## c_onu ps_sat ps_lead ps_exp
## Min. :1.000 Min. : 1.00 Min. :1.000 Min. :1.000
## 1st Qu.:2.000 1st Qu.: 3.00 1st Qu.:2.000 1st Qu.:2.000
## Median :3.000 Median : 5.00 Median :3.000 Median :2.000
## Mean :2.581 Mean : 5.23 Mean :2.657 Mean :2.341
## 3rd Qu.:3.000 3rd Qu.: 7.00 3rd Qu.:4.000 3rd Qu.:3.000
## Max. :4.000 Max. :10.00 Max. :4.000 Max. :4.000
## NA's :15805 NA's :4513 NA's :7984 NA's :9757
## ps_arm ps_dmc cq_mnr cq_ind
## Min. :1.000 Min. :1.000 Min. :0.0000 Min. :0.0000
## 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:1.0000 1st Qu.:0.0000
## Median :3.000 Median :1.000 Median :1.0000 Median :0.0000
## Mean :3.138 Mean :1.609 Mean :0.7587 Mean :0.4744
## 3rd Qu.:4.000 3rd Qu.:2.000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :4.000 Max. :4.000 Max. :1.0000 Max. :1.0000
## NA's :11481 NA's :6531 NA's :887 NA's :1681
## cq_hwr cq_rsp cq_img cq_tlr
## Min. :0.0000 Min. :0.0 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0 1st Qu.:0.0000 1st Qu.:0.0000
## Median :1.0000 Median :1.0 Median :0.0000 Median :1.0000
## Mean :0.5223 Mean :0.7 Mean :0.2209 Mean :0.6679
## 3rd Qu.:1.0000 3rd Qu.:1.0 3rd Qu.:0.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0 Max. :1.0000 Max. :1.0000
## NA's :1244 NA's :1109 NA's :2287 NA's :1351
## cq_thr cq_prs cq_rlg cq_uns
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.3216 Mean :0.3569 Mean :0.2799 Mean :0.2691
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## NA's :1933 NA's :2002 NA's :2222 NA's :2171
## cq_obd trs_most trs_faml trs_ngh
## Min. :0.0000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:0.0000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:2.000
## Median :0.0000 Median :2.000 Median :1.000 Median :2.000
## Mean :0.2692 Mean :1.718 Mean :1.224 Mean :2.131
## 3rd Qu.:1.0000 3rd Qu.:2.000 3rd Qu.:1.000 3rd Qu.:3.000
## Max. :1.0000 Max. :2.000 Max. :4.000 Max. :4.000
## NA's :2246 NA's :2166 NA's :427 NA's :1328
## trs_knw trs_met trs_rlg trs_ntn men_lead
## Min. :1.000 Min. :1.00 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:1.000 1st Qu.:2.00 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000
## Median :2.000 Median :3.00 Median :3.000 Median :3.000 Median :3.000
## Mean :1.978 Mean :2.94 Mean :2.604 Mean :2.661 Mean :2.753
## 3rd Qu.:2.000 3rd Qu.:4.00 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:3.000
## Max. :4.000 Max. :4.00 Max. :4.000 Max. :4.000 Max. :4.000
## NA's :821 NA's :2362 NA's :7342 NA's :7098 NA's :4167
## men_uni men_chwm men_bsn post_mat
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:1.000
## Median :3.000 Median :3.000 Median :3.000 Median :2.000
## Mean :3.131 Mean :2.599 Mean :2.847 Mean :1.851
## 3rd Qu.:4.000 3rd Qu.:3.000 3rd Qu.:4.000 3rd Qu.:2.000
## Max. :4.000 Max. :4.000 Max. :4.000 Max. :3.000
## NA's :2274 NA's :2625 NA's :3633 NA's :5076
## env_vs_grw job_men job_ntn hom_prn dut_chl
## Min. :1.000 Min. :1.000 Min. :1.00 Min. :1.000 Min. :1.000
## 1st Qu.:1.000 1st Qu.:2.000 1st Qu.:1.00 1st Qu.:2.000 1st Qu.:2.000
## Median :1.000 Median :4.000 Median :2.00 Median :3.000 Median :3.000
## Mean :1.398 Mean :3.239 Mean :2.18 Mean :3.225 Mean :2.895
## 3rd Qu.:2.000 3rd Qu.:4.000 3rd Qu.:3.00 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :2.000 Max. :5.000 Max. :5.00 Max. :5.000 Max. :5.000
## NA's :7984 NA's :7787 NA's :7914 NA's :16986 NA's :1909
## dut_ill fc_work fc_auth js_bnft
## Min. :1.000 Min. :1.000 Min. :1.000 Min. : 1.000
## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.: 1.000
## Median :2.000 Median :3.000 Median :1.000 Median : 1.000
## Mean :2.204 Mean :2.181 Mean :1.598 Mean : 2.671
## 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:2.000 3rd Qu.: 4.000
## Max. :5.000 Max. :3.000 Max. :3.000 Max. :10.000
## NA's :1301 NA's :4669 NA's :5903 NA's :2316
## js_fare js_tax js_brib js_hom
## Min. : 1.000 Min. : 1.000 Min. : 1.00 Min. : 1.000
## 1st Qu.: 1.000 1st Qu.: 1.000 1st Qu.: 1.00 1st Qu.: 1.000
## Median : 1.000 Median : 1.000 Median : 1.00 Median : 3.000
## Mean : 2.766 Mean : 2.176 Mean : 1.78 Mean : 4.303
## 3rd Qu.: 4.000 3rd Qu.: 2.000 3rd Qu.: 2.00 3rd Qu.: 8.000
## Max. :10.000 Max. :10.000 Max. :10.00 Max. :10.000
## NA's :3924 NA's :1703 NA's :1402 NA's :7436
## js_prst js_abr js_div js_euth
## Min. : 1.000 Min. : 1.000 Min. : 1.000 Min. : 1.000
## 1st Qu.: 1.000 1st Qu.: 1.000 1st Qu.: 2.000 1st Qu.: 1.000
## Median : 1.000 Median : 4.000 Median : 5.000 Median : 4.000
## Mean : 2.925 Mean : 4.171 Mean : 5.483 Mean : 4.379
## 3rd Qu.: 5.000 3rd Qu.: 7.000 3rd Qu.: 8.000 3rd Qu.: 7.000
## Max. :10.000 Max. :10.000 Max. :10.000 Max. :10.000
## NA's :9549 NA's :3589 NA's :2772 NA's :6044
## js_suic js_sex js_vlnc js_dthp
## Min. : 1.000 Min. : 1.000 Min. : 1.000 Min. : 1.000
## 1st Qu.: 1.000 1st Qu.: 1.000 1st Qu.: 1.000 1st Qu.: 1.000
## Median : 1.000 Median : 2.000 Median : 1.000 Median : 2.000
## Mean : 2.613 Mean : 3.669 Mean : 1.827 Mean : 3.753
## 3rd Qu.: 4.000 3rd Qu.: 6.000 3rd Qu.: 2.000 3rd Qu.: 6.000
## Max. :10.000 Max. :10.000 Max. :10.000 Max. :10.000
## NA's :4067 NA's :9241 NA's :5552 NA's :3936
## imp_imm cls_eu cls_wrl cls_vlg
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:1.000
## Median :3.000 Median :2.000 Median :3.000 Median :2.000
## Mean :2.949 Mean :2.428 Mean :2.498 Mean :1.677
## 3rd Qu.:4.000 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:2.000
## Max. :5.000 Max. :4.000 Max. :4.000 Max. :4.000
## NA's :4173 NA's :3290 NA's :4141 NA's :1052
## cls_rgn cls_cnt gvr_vds gvr_eml
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:2.000
## Median :2.000 Median :2.000 Median :2.000 Median :3.000
## Mean :1.822 Mean :1.721 Mean :2.269 Mean :2.987
## 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:3.000 3rd Qu.:4.000
## Max. :4.000 Max. :4.000 Max. :4.000 Max. :4.000
## NA's :3493 NA's :1371 NA's :4184 NA's :5749
## gvr_inf pol_sp pol_rad sex
## Min. :1.000 Min. : 1.00 Min. : 0.00 Min. :1.000
## 1st Qu.:2.000 1st Qu.: 4.00 1st Qu.: 0.00 1st Qu.:1.000
## Median :3.000 Median : 5.00 Median : 4.00 Median :2.000
## Mean :3.055 Mean : 5.61 Mean : 6.04 Mean :1.539
## 3rd Qu.:4.000 3rd Qu.: 7.00 3rd Qu.: 9.00 3rd Qu.:2.000
## Max. :4.000 Max. :10.00 Max. :25.00 Max. :2.000
## NA's :5096 NA's :34816 NA's :34816 NA's :74
## age nativ n_child edu_lvl
## Min. :1.000 Min. :1.000 Min. :0.000 Min. :1.000
## 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:0.000 1st Qu.:1.000
## Median :4.000 Median :1.000 Median :2.000 Median :2.000
## Mean :3.579 Mean :1.059 Mean :1.655 Mean :2.037
## 3rd Qu.:5.000 3rd Qu.:1.000 3rd Qu.:2.000 3rd Qu.:3.000
## Max. :6.000 Max. :2.000 Max. :5.000 Max. :3.000
## NA's :430 NA's :230 NA's :1263 NA's :1025
## incm_lvl city_siz rel prd
## Min. : 1.00 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.: 3.00 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:1.000
## Median : 5.00 Median :3.000 Median :1.000 Median :1.000
## Mean : 5.01 Mean :2.864 Mean :1.429 Mean :1.582
## 3rd Qu.: 7.00 3rd Qu.:4.000 3rd Qu.:2.000 3rd Qu.:2.000
## Max. :10.00 Max. :5.000 Max. :3.000 Max. :4.000
## NA's :74884 NA's :6899 NA's :4091 NA's :5273
## HDI
## Min. :0.5090
## 1st Qu.:0.7330
## Median :0.7930
## Mean :0.7911
## 3rd Qu.:0.8850
## Max. :0.9440
##
W7R <- W7R[, !(names(W7R) %in% c("incm_lvl", "edu_lvl", "E181_EVS5"))]
na_count <- colSums(is.na(W7R))
print(na_count)
## cntry_name imp_fml imp_frnd imp_leis imp_polt imp_wrk imp_rlg
## 0 319 464 783 1471 1366 1414
## hap_feel life_sat frdm_cntl fgt_cntr plc_int plc_eql plc_prpt
## 1130 569 1441 10486 769 2111 6542
## plc_rspn plc_cmpt dmc_tax dmc_rlg dmc_ppl dmc_aid dmc_coup
## 1835 2910 8588 10752 7231 7390 14352
## dmc_rght dmc_wmn dmc_eql dmc_obey dmc_imp dmc_cnt el_fair
## 10049 6536 8582 8887 2474 3992 14195
## el_opp el_tv el_brb el_jrn el_off el_rch el_thr
## 21255 20460 17776 15653 16563 20061 18886
## c_chr c_arm c_prs c_uns c_plc c_prl c_cvl
## 3069 6806 2777 9887 2930 4281 4267
## c_eu1 c_gvr c_prt c_cmp c_env c_jst c_onu
## 58097 4470 4799 8352 8341 5054 15805
## ps_sat ps_lead ps_exp ps_arm ps_dmc cq_mnr cq_ind
## 4513 7984 9757 11481 6531 887 1681
## cq_hwr cq_rsp cq_img cq_tlr cq_thr cq_prs cq_rlg
## 1244 1109 2287 1351 1933 2002 2222
## cq_uns cq_obd trs_most trs_faml trs_ngh trs_knw trs_met
## 2171 2246 2166 427 1328 821 2362
## trs_rlg trs_ntn men_lead men_uni men_chwm men_bsn post_mat
## 7342 7098 4167 2274 2625 3633 5076
## env_vs_grw job_men job_ntn hom_prn dut_chl dut_ill fc_work
## 7984 7787 7914 16986 1909 1301 4669
## fc_auth js_bnft js_fare js_tax js_brib js_hom js_prst
## 5903 2316 3924 1703 1402 7436 9549
## js_abr js_div js_euth js_suic js_sex js_vlnc js_dthp
## 3589 2772 6044 4067 9241 5552 3936
## imp_imm cls_eu cls_wrl cls_vlg cls_rgn cls_cnt gvr_vds
## 4173 3290 4141 1052 3493 1371 4184
## gvr_eml gvr_inf pol_sp pol_rad sex age nativ
## 5749 5096 34816 34816 74 430 230
## n_child city_siz rel prd HDI
## 1263 6899 4091 5273 0
na_count2 <- sum(is.na(W7R$HDI))
print(na_count2)
## [1] 0
Since we have lots of NAs we need to impute. I decided to impute all dataset to keep the particularity of all data, rather than doing the sampling before the imputation. This means that the imputing took about 6 hours.
#md.pattern(W7R)
#LET'S IMPUTE THE NAs
# imputed_W7R <- mice(W7R, m = 5, maxit = 5, method = "pmm", seed = 123)
#
# complete_W7R <- complete(imputed_W7R)
#
# save(complete_W7R, file= "complete_W7R.rda")
load("complete_W7R.rda")
#remove dupes
imputed_data <- complete_W7R[!duplicated(complete_W7R), ]
#let's make sure we have no NAs
na_count <- colSums(is.na(imputed_data))
print(na_count)
## cntry_name imp_fml imp_frnd imp_leis imp_polt imp_wrk imp_rlg
## 0 0 0 0 0 0 0
## hap_feel life_sat frdm_cntl fgt_cntr plc_int plc_eql plc_prpt
## 0 0 0 0 0 0 0
## plc_rspn plc_cmpt dmc_tax dmc_rlg dmc_ppl dmc_aid dmc_coup
## 0 0 0 0 0 0 0
## dmc_rght dmc_wmn dmc_eql dmc_obey dmc_imp dmc_cnt el_fair
## 0 0 0 0 0 0 0
## el_opp el_tv el_brb el_jrn el_off el_rch el_thr
## 0 0 0 0 0 0 0
## c_chr c_arm c_prs c_uns c_plc c_prl c_cvl
## 0 0 0 0 0 0 0
## c_eu1 c_gvr c_prt c_cmp c_env c_jst c_onu
## 0 0 0 0 0 0 0
## ps_sat ps_lead ps_exp ps_arm ps_dmc cq_mnr cq_ind
## 0 0 0 0 0 0 0
## cq_hwr cq_rsp cq_img cq_tlr cq_thr cq_prs cq_rlg
## 0 0 0 0 0 0 0
## cq_uns cq_obd trs_most trs_faml trs_ngh trs_knw trs_met
## 0 0 0 0 0 0 0
## trs_rlg trs_ntn men_lead men_uni men_chwm men_bsn post_mat
## 0 0 0 0 0 0 0
## env_vs_grw job_men job_ntn hom_prn dut_chl dut_ill fc_work
## 0 0 0 0 0 0 0
## fc_auth js_bnft js_fare js_tax js_brib js_hom js_prst
## 0 0 0 0 0 0 0
## js_abr js_div js_euth js_suic js_sex js_vlnc js_dthp
## 0 0 0 0 0 0 0
## imp_imm cls_eu cls_wrl cls_vlg cls_rgn cls_cnt gvr_vds
## 0 0 0 0 0 0 0
## gvr_eml gvr_inf pol_sp pol_rad sex age nativ
## 0 0 0 0 0 0 0
## n_child city_siz rel prd HDI
## 0 0 0 0 0
#just to check HDI and country it's still correct
vars_to_save = c("HDI", "cntry_name")
sub_to_check = imputed_data[,vars_to_save]
Due to system limitation, it is not possible for me to use the whole dataset to compute a random forest as it will take 120gb of memory and I guess a long time to compute. I will have to use a samples.
In the of the project i will use 20 random samples per country. This because after trying other numbers the computational times were enormous, especially for OLS_all_steps.
#sample random records
library(dplyr)
##
## Attaching package: 'dplyr'
## The following object is masked from 'package:randomForest':
##
## combine
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
sample_n_unique <- function(data, n) {
data %>%
group_by(cntry_name) %>%
slice_sample(n = 20, replace = FALSE)
}
#subset with n samples
subset_data <- imputed_data %>%
group_by(cntry_name) %>%
sample_n_unique(20)
#to make sure:
dim(subset_data)
## [1] 1500 117
table(subset_data$cntry_name)
##
## Albania Andorra Argentina Armenia Australia
## 20 20 20 20 20
## Austria Azerbaijan Bangladesh Belarus Bolivia
## 20 20 20 20 20
## Bosnia Brazil Bulgaria Chile China
## 20 20 20 20 20
## Colombia Croatia Cyprus Czechia Denmark
## 20 20 20 20 20
## Ecuador Egypt Estonia Finland France
## 20 20 20 20 20
## Georgia Germany Great-Britain Greece Guatemala
## 20 20 20 20 20
## HongKong-SAR Hungary Iceland Indonesia Iran
## 20 20 20 20 20
## Iraq Italy Japan Jordan Kazakhstan
## 20 20 20 20 20
## Kyrgyzstan Lebanon Lithuania Malaysia Mexico
## 20 20 20 20 20
## Montenegro Myanmar Netherlands New-Zealand Nicaragua
## 20 20 20 20 20
## Nigeria North-Macedonia Norway Pakistan Peru
## 20 20 20 20 20
## Philippines Poland Portugal Romania Russia
## 20 20 20 20 20
## Serbia Slovakia Slovenia South-Korea Spain
## 20 20 20 20 20
## Sweden Switzerland Tajikistan Thailand Tunisia
## 20 20 20 20 20
## Turkey Ukraine United-States Vietnam Zimbabwe
## 20 20 20 20 20
Just as in the last exam I will make use of the feature importance of random forests to make Feature Selection to reduce form the 117 variables of the dataset.
# I will be using Random Forest feature importance to obtain the first 25 (out of the 117 I have) variables to predict HDI:
#have to drop cntry name because is a string and age becasue it's hihgly correlated with HDI
subset_data <- subset_data[, !names(subset_data) %in% "cntry_name"] #take off country name
subset_data1 <- subset_data[, !names(subset_data) %in% "age"] #take off
#here i will scale to better compute the random forest
scaled_df <- scale(subset_data1)
scaled_df <- as.data.frame(scaled_df)
set.seed(1234)
rf1 = randomForest(HDI ~ ., data=scaled_df, na.action = na.roughfix,
proximity = T,
ntree=500, mtry=4, importance=TRUE)
#the feautre importance
t = importance(rf1)
t1 = sort(t[,1], decreasing = T)
t2 = t1[1:15] #15 predictor in decreasing order
importance_vars = names(t2) #IN T2 THERE ARE NAMED VECTORS, TO ACCESS NAMES WE DO THIS
print(importance_vars) #CHECK CORRECT NAMES
## [1] "js_hom" "js_abr" "js_euth" "js_div" "dut_ill" "el_fair" "ps_arm"
## [8] "imp_rlg" "job_men" "el_brb" "ps_lead" "cq_rlg" "dmc_rlg" "dut_chl"
## [15] "hom_prn"
# List of variables to keep
my_vars <- c("js_hom", "js_abr", "js_div", "imp_rlg", "js_euth", "dut_ill", "ps_arm", "dut_chl", "el_fair", "job_men", "el_thr", "trs_ntn", "ps_lead", "men_lead", "el_brb", "HDI")
my_sub <- subset_data[, my_vars]
my_sub <- as.data.frame(my_sub)
As later on I saw a big correlation between these 3 variables I decided to make only 1 variable out of these 3. This actually makes a lot of sense as in common sociology this variables are “proxies” to asses if an individual is religious or not. Reasons why I am doing here rather than after is because doing so I don’t have to do it 4 times.
my_sub$rel = (my_sub$js_hom + my_sub$js_abr + my_sub$js_div + my_sub$js_euth)/4
my_sub <- my_sub[, !(names(my_sub) %in% c("js_hom", "js_abr", "js_div", "js_euth"))]
in_train <- createDataPartition(my_sub$HDI, p = 0.75, list = FALSE) # 75% for training
training <- my_sub[ in_train,]
testing <- my_sub[-in_train,]
nrow(training)
## [1] 1125
nrow(testing)
## [1] 375
So here I will create a categorical variable called “cat”. It’s the variable HDI that I wanted to split into a binary variable. 761 is the HDI of Turkey, which is very close to being a middle point for splitting, but while keeping a bit more countries (10 circa) at the lower end of the scale
# Assuming df is your dataframe and your_variable is the column name
training_cat <- training %>%
mutate(cat = ifelse(HDI >= 0.761, "high", "low"))
testing_cat <- testing %>%
mutate(cat = ifelse(HDI >= 0.761, "high", "low"))
training_cat <- training_cat[, !names(training_cat) %in% "HDI"] #take off
testing_cat <- testing_cat[, !names(testing_cat) %in% "HDI"] #take off
training_cat$cat <- factor(training_cat$cat, levels = c("low", "high"))
testing_cat$cat <- factor(testing_cat$cat, levels = c("low", "high"))
levels(training_cat$cat)
## [1] "low" "high"
here we will do a bit of visualization to see how data is distributed and correlations
library(ggplot2)
library(GGally)
ggcorr(training, label=TRUE)
heatmap(cor(training))
training %>% ggplot(aes(x=HDI)) + geom_density(fill="navyblue")
training %>% ggplot(aes(x=rel, y=HDI)) + geom_point(color = "navyblue")
boxplot(training, las=2, col="darkblue")
#scale to see how HDI is disrtibuted
boxplot(scale(training), las=2, col="darkblue")
hist(training$HDI, col="lightblue")
plot(training_cat$cat, col="lightblue")
I will try some ways of regression and ML stuff so it’s good to keep a log
test_results <- data.frame(HDI = testing$HDI)
test_results_cat <- data.frame(cat = testing_cat$cat)
Let’s start with the regression
linFit <- lm(HDI ~ rel, data=training)
summary(linFit)
##
## Call:
## lm(formula = HDI ~ rel, data = training)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.36873 -0.04863 0.01404 0.05826 0.21124
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.6889850 0.0050124 137.46 <2e-16 ***
## rel 0.0217745 0.0009785 22.25 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.08886 on 1123 degrees of freedom
## Multiple R-squared: 0.306, Adjusted R-squared: 0.3054
## F-statistic: 495.1 on 1 and 1123 DF, p-value: < 2.2e-16
par(mfrow=c(2,2))
plot(linFit, pch=23 ,bg='orange',cex=2)
pr.simple = predict(linFit, newdata=testing)
cor(testing$HDI, pr.simple)^2
## [1] 0.3048634
The squared correlation is equal 0.31 which is not great
linFit <- lm(HDI ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + job_men + el_thr + trs_ntn + ps_lead + men_lead + el_brb + rel, data = training)
summary(linFit)
##
## Call:
## lm(formula = HDI ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair +
## job_men + el_thr + trs_ntn + ps_lead + men_lead + el_brb +
## rel, data = training)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.251338 -0.040310 0.007679 0.053880 0.213311
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.612479 0.017948 34.124 < 2e-16 ***
## imp_rlg 0.014237 0.002586 5.506 4.56e-08 ***
## dut_ill 0.008534 0.002425 3.519 0.000450 ***
## ps_arm 0.019830 0.002761 7.184 1.24e-12 ***
## dut_chl 0.004796 0.002204 2.176 0.029794 *
## el_fair -0.012638 0.002669 -4.734 2.48e-06 ***
## job_men 0.003504 0.002283 1.535 0.125137
## el_thr 0.003027 0.002904 1.042 0.297455
## trs_ntn -0.009811 0.002948 -3.328 0.000904 ***
## ps_lead 0.006972 0.002508 2.779 0.005538 **
## men_lead 0.005221 0.002933 1.780 0.075317 .
## el_brb 0.001595 0.002587 0.617 0.537586
## rel 0.009867 0.001154 8.552 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.07907 on 1112 degrees of freedom
## Multiple R-squared: 0.4559, Adjusted R-squared: 0.45
## F-statistic: 77.64 on 12 and 1112 DF, p-value: < 2.2e-16
adjusted R-squared it’s 0.48 which is greater than only using rel as predictor
pr.multiple = predict(linFit, newdata=testing)
cor(testing$HDI, pr.multiple)^2
## [1] 0.4553961
Correlation with all vars is = 0.49 which is better than using only 1 variable
library(olsrr)
##
## Attaching package: 'olsrr'
## The following object is masked from 'package:datasets':
##
## rivers
names(my_sub)
## [1] "imp_rlg" "dut_ill" "ps_arm" "dut_chl" "el_fair" "job_men"
## [7] "el_thr" "trs_ntn" "ps_lead" "men_lead" "el_brb" "HDI"
## [13] "rel"
model <- HDI ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + job_men + el_thr + trs_ntn + ps_lead + men_lead + el_brb + rel
linFit <- lm(model, data=training)
ols_step_all_possible(linFit) # All possible subset regressions: the number is exponential with p
## Index N
## 12 1 1
## 6 2 1
## 1 3 1
## 3 4 1
## 2 5 1
## 4 6 1
## 10 7 1
## 9 8 1
## 5 9 1
## 8 10 1
## 7 11 1
## 11 12 1
## 42 13 2
## 23 14 2
## 63 15 2
## 33 16 2
## 75 17 2
## 57 18 2
## 50 19 2
## 77 20 2
## 78 21 2
## 68 22 2
## 72 23 2
## 14 24 2
## 24 25 2
## 17 26 2
## 36 27 2
## 13 28 2
## 20 29 2
## 27 30 2
## 34 31 2
## 21 32 2
## 35 33 2
## 51 34 2
## 16 35 2
## 60 36 2
## 15 37 2
## 19 38 2
## 40 39 2
## 38 40 2
## 30 41 2
## 59 42 2
## 26 43 2
## 31 44 2
## 44 45 2
## 58 46 2
## 39 47 2
## 62 48 2
## 43 49 2
## 47 50 2
## 29 51 2
## 18 52 2
## 55 53 2
## 25 54 2
## 61 55 2
## 22 56 2
## 73 57 2
## 41 58 2
## 37 59 2
## 48 60 2
## 28 61 2
## 46 62 2
## 54 63 2
## 70 64 2
## 32 65 2
## 69 66 2
## 45 67 2
## 49 68 2
## 66 69 2
## 76 70 2
## 53 71 2
## 65 72 2
## 74 73 2
## 64 74 2
## 71 75 2
## 52 76 2
## 56 77 2
## 67 78 2
## 97 79 3
## 193 80 3
## 142 81 3
## 186 82 3
## 199 83 3
## 208 84 3
## 213 85 3
## 211 86 3
## 214 87 3
## 204 88 3
## 130 89 3
## 88 90 3
## 118 91 3
## 248 92 3
## 112 93 3
## 175 94 3
## 275 95 3
## 157 96 3
## 163 97 3
## 260 98 3
## 132 99 3
## 239 100 3
## 221 101 3
## 105 102 3
## 262 103 3
## 296 104 3
## 177 105 3
## 127 106 3
## 278 107 3
## 268 108 3
## 123 109 3
## 133 110 3
## 168 111 3
## 227 112 3
## 272 113 3
## 178 114 3
## 150 115 3
## 172 116 3
## 297 117 3
## 285 118 3
## 291 119 3
## 241 120 3
## 277 121 3
## 242 122 3
## 232 123 3
## 298 124 3
## 236 125 3
## 293 126 3
## 287 127 3
## 257 128 3
## 253 129 3
## 263 130 3
## 282 131 3
## 294 132 3
## 79 133 3
## 90 134 3
## 288 135 3
## 91 136 3
## 93 137 3
## 89 138 3
## 95 139 3
## 135 140 3
## 94 141 3
## 187 142 3
## 106 143 3
## 136 144 3
## 85 145 3
## 115 146 3
## 82 147 3
## 179 148 3
## 81 149 3
## 96 150 3
## 92 151 3
## 138 152 3
## 114 153 3
## 109 154 3
## 140 155 3
## 151 156 3
## 195 157 3
## 86 158 3
## 110 159 3
## 128 160 3
## 84 161 3
## 134 162 3
## 191 163 3
## 102 164 3
## 124 165 3
## 139 166 3
## 180 167 3
## 182 168 3
## 98 169 3
## 160 170 3
## 113 171 3
## 125 172 3
## 137 173 3
## 99 174 3
## 245 175 3
## 117 176 3
## 141 177 3
## 196 178 3
## 189 179 3
## 83 180 3
## 198 181 3
## 116 182 3
## 80 183 3
## 184 184 3
## 159 185 3
## 194 186 3
## 101 187 3
## 155 188 3
## 108 189 3
## 206 190 3
## 215 191 3
## 154 192 3
## 103 193 3
## 87 194 3
## 158 195 3
## 183 196 3
## 197 197 3
## 244 198 3
## 120 199 3
## 173 200 3
## 190 201 3
## 162 202 3
## 185 203 3
## 129 204 3
## 181 205 3
## 269 206 3
## 224 207 3
## 121 208 3
## 218 209 3
## 143 210 3
## 246 211 3
## 219 212 3
## 131 213 3
## 144 214 3
## 161 215 3
## 169 216 3
## 147 217 3
## 209 218 3
## 100 219 3
## 170 220 3
## 258 221 3
## 223 222 3
## 265 223 3
## 205 224 3
## 274 225 3
## 119 226 3
## 104 227 3
## 153 228 3
## 243 229 3
## 212 230 3
## 202 231 3
## 264 232 3
## 126 233 3
## 273 234 3
## 165 235 3
## 237 236 3
## 247 237 3
## 188 238 3
## 271 239 3
## 207 240 3
## 166 241 3
## 222 242 3
## 200 243 3
## 107 244 3
## 148 245 3
## 192 246 3
## 226 247 3
## 233 248 3
## 217 249 3
## 146 250 3
## 174 251 3
## 176 252 3
## 255 253 3
## 270 254 3
## 111 255 3
## 234 256 3
## 289 257 3
## 145 258 3
## 152 259 3
## 164 260 3
## 225 261 3
## 229 262 3
## 210 263 3
## 276 264 3
## 266 265 3
## 238 266 3
## 201 267 3
## 149 268 3
## 156 269 3
## 230 270 3
## 171 271 3
## 240 272 3
## 254 273 3
## 267 274 3
## 283 275 3
## 295 276 3
## 216 277 3
## 228 278 3
## 251 279 3
## 235 280 3
## 220 281 3
## 280 282 3
## 122 283 3
## 261 284 3
## 292 285 3
## 203 286 3
## 167 287 3
## 279 288 3
## 250 289 3
## 290 290 3
## 259 291 3
## 231 292 3
## 286 293 3
## 249 294 3
## 256 295 3
## 284 296 3
## 281 297 3
## 252 298 3
## 358 299 4
## 307 300 4
## 478 301 4
## 373 302 4
## 590 303 4
## 351 304 4
## 364 305 4
## 617 306 4
## 376 307 4
## 378 308 4
## 379 309 4
## 631 310 4
## 369 311 4
## 626 312 4
## 484 313 4
## 493 314 4
## 629 315 4
## 496 316 4
## 499 317 4
## 471 318 4
## 498 319 4
## 489 320 4
## 605 321 4
## 632 322 4
## 622 323 4
## 611 324 4
## 641 325 4
## 647 326 4
## 596 327 4
## 608 328 4
## 601 329 4
## 644 330 4
## 610 331 4
## 637 332 4
## 662 333 4
## 667 334 4
## 663 335 4
## 660 336 4
## 665 337 4
## 646 338 4
## 666 339 4
## 651 340 4
## 656 341 4
## 654 342 4
## 340 343 4
## 425 344 4
## 657 345 4
## 413 346 4
## 440 347 4
## 322 348 4
## 545 349 4
## 735 350 4
## 461 351 4
## 533 352 4
## 427 353 4
## 404 354 4
## 328 355 4
## 456 356 4
## 560 357 4
## 386 358 4
## 685 359 4
## 547 360 4
## 342 361 4
## 462 362 4
## 450 363 4
## 756 364 4
## 337 365 4
## 437 366 4
## 581 367 4
## 673 368 4
## 333 369 4
## 443 370 4
## 433 371 4
## 422 372 4
## 343 373 4
## 506 374 4
## 570 375 4
## 524 376 4
## 777 377 4
## 687 378 4
## 553 379 4
## 582 380 4
## 315 381 4
## 700 382 4
## 732 383 4
## 563 384 4
## 765 385 4
## 392 386 4
## 576 387 4
## 458 388 4
## 771 389 4
## 737 390 4
## 442 391 4
## 557 392 4
## 406 393 4
## 728 394 4
## 401 395 4
## 542 396 4
## 463 397 4
## 721 398 4
## 452 399 4
## 738 400 4
## 418 401 4
## 300 402 4
## 722 403 4
## 397 404 4
## 710 405 4
## 776 406 4
## 407 407 4
## 538 408 4
## 716 409 4
## 428 410 4
## 751 411 4
## 572 412 4
## 682 413 4
## 512 414 4
## 562 415 4
## 583 416 4
## 793 417 4
## 753 418 4
## 703 419 4
## 548 420 4
## 790 421 4
## 447 422 4
## 578 423 4
## 693 424 4
## 786 425 4
## 459 426 4
## 745 427 4
## 774 428 4
## 517 429 4
## 678 430 4
## 762 431 4
## 526 432 4
## 757 433 4
## 697 434 4
## 527 435 4
## 352 436 4
## 567 437 4
## 688 438 4
## 747 439 4
## 521 440 4
## 723 441 4
## 758 442 4
## 778 443 4
## 579 444 4
## 712 445 4
## 768 446 4
## 303 447 4
## 767 448 4
## 718 449 4
## 773 450 4
## 791 451 4
## 781 452 4
## 344 453 4
## 702 454 4
## 453 455 4
## 707 456 4
## 573 457 4
## 719 458 4
## 354 459 4
## 356 460 4
## 792 461 4
## 783 462 4
## 301 463 4
## 787 464 4
## 360 465 4
## 713 466 4
## 304 467 4
## 305 468 4
## 788 469 4
## 742 470 4
## 355 471 4
## 347 472 4
## 754 473 4
## 371 474 4
## 472 475 4
## 299 476 4
## 302 477 4
## 306 478 4
## 748 479 4
## 361 480 4
## 370 481 4
## 784 482 4
## 316 483 4
## 410 484 4
## 319 485 4
## 345 486 4
## 476 487 4
## 348 488 4
## 363 489 4
## 325 490 4
## 359 491 4
## 464 492 4
## 349 493 4
## 374 494 4
## 474 495 4
## 353 496 4
## 365 497 4
## 372 498 4
## 362 499 4
## 584 500 4
## 320 501 4
## 357 502 4
## 613 503 4
## 480 504 4
## 409 505 4
## 423 506 4
## 334 507 4
## 434 508 4
## 338 509 4
## 350 510 4
## 346 511 4
## 324 512 4
## 475 513 4
## 586 514 4
## 383 515 4
## 588 516 4
## 377 517 4
## 367 518 4
## 318 519 4
## 380 520 4
## 614 521 4
## 530 522 4
## 481 523 4
## 491 524 4
## 335 525 4
## 375 526 4
## 411 527 4
## 479 528 4
## 366 529 4
## 454 530 4
## 323 531 4
## 483 532 4
## 467 533 4
## 312 534 4
## 420 535 4
## 419 536 4
## 615 537 4
## 308 538 4
## 330 539 4
## 389 540 4
## 384 541 4
## 587 542 4
## 430 543 4
## 398 544 4
## 624 545 4
## 439 546 4
## 465 547 4
## 327 548 4
## 473 549 4
## 592 550 4
## 339 551 4
## 438 552 4
## 490 553 4
## 477 554 4
## 382 555 4
## 408 556 4
## 402 557 4
## 482 558 4
## 326 559 4
## 529 560 4
## 612 561 4
## 429 562 4
## 388 563 4
## 616 564 4
## 485 565 4
## 494 566 4
## 436 567 4
## 412 568 4
## 469 569 4
## 543 570 4
## 309 571 4
## 603 572 4
## 468 573 4
## 492 574 4
## 331 575 4
## 435 576 4
## 329 577 4
## 311 578 4
## 638 579 4
## 640 580 4
## 317 581 4
## 627 582 4
## 670 583 4
## 487 584 4
## 497 585 4
## 554 586 4
## 633 587 4
## 466 588 4
## 399 589 4
## 585 590 4
## 500 591 4
## 341 592 4
## 531 593 4
## 470 594 4
## 589 595 4
## 448 596 4
## 595 597 4
## 368 598 4
## 313 599 4
## 593 600 4
## 460 601 4
## 602 602 4
## 394 603 4
## 639 604 4
## 336 605 4
## 321 606 4
## 729 607 4
## 528 608 4
## 591 609 4
## 550 610 4
## 503 611 4
## 604 612 4
## 597 613 4
## 403 614 4
## 387 615 4
## 444 616 4
## 486 617 4
## 559 618 4
## 391 619 4
## 415 620 4
## 495 621 4
## 540 622 4
## 683 623 4
## 669 624 4
## 416 625 4
## 445 626 4
## 455 627 4
## 532 628 4
## 504 629 4
## 310 630 4
## 623 631 4
## 549 632 4
## 509 633 4
## 457 634 4
## 733 635 4
## 424 636 4
## 606 637 4
## 643 638 4
## 426 639 4
## 539 640 4
## 431 641 4
## 393 642 4
## 594 643 4
## 558 644 4
## 441 645 4
## 620 646 4
## 609 647 4
## 574 648 4
## 634 649 4
## 381 650 4
## 630 651 4
## 390 652 4
## 556 653 4
## 658 654 4
## 314 655 4
## 599 656 4
## 395 657 4
## 400 658 4
## 694 659 4
## 432 660 4
## 405 661 4
## 642 662 4
## 661 663 4
## 680 664 4
## 645 665 4
## 671 666 4
## 385 667 4
## 725 668 4
## 508 669 4
## 679 670 4
## 649 671 4
## 555 672 4
## 502 673 4
## 730 674 4
## 488 675 4
## 607 676 4
## 522 677 4
## 598 678 4
## 518 679 4
## 635 680 4
## 734 681 4
## 568 682 4
## 507 683 4
## 668 684 4
## 636 685 4
## 536 686 4
## 759 687 4
## 690 688 4
## 618 689 4
## 749 690 4
## 332 691 4
## 414 692 4
## 699 693 4
## 580 694 4
## 770 695 4
## 551 696 4
## 535 697 4
## 625 698 4
## 511 699 4
## 714 700 4
## 672 701 4
## 724 702 4
## 689 703 4
## 514 704 4
## 561 705 4
## 546 706 4
## 769 707 4
## 552 708 4
## 519 709 4
## 565 710 4
## 421 711 4
## 564 712 4
## 696 713 4
## 544 714 4
## 731 715 4
## 523 716 4
## 698 717 4
## 664 718 4
## 600 719 4
## 577 720 4
## 501 721 4
## 449 722 4
## 619 723 4
## 575 724 4
## 652 725 4
## 510 726 4
## 515 727 4
## 675 728 4
## 676 729 4
## 726 730 4
## 628 731 4
## 513 732 4
## 695 733 4
## 708 734 4
## 659 735 4
## 451 736 4
## 648 737 4
## 775 738 4
## 720 739 4
## 763 740 4
## 525 741 4
## 736 742 4
## 704 743 4
## 686 744 4
## 505 745 4
## 684 746 4
## 534 747 4
## 396 748 4
## 760 749 4
## 705 750 4
## 772 751 4
## 764 752 4
## 715 753 4
## 743 754 4
## 520 755 4
## 717 756 4
## 755 757 4
## 691 758 4
## 701 759 4
## 446 760 4
## 655 761 4
## 761 762 4
## 692 763 4
## 779 764 4
## 541 765 4
## 674 766 4
## 789 767 4
## 727 768 4
## 571 769 4
## 569 770 4
## 650 771 4
## 740 772 4
## 681 773 4
## 621 774 4
## 752 775 4
## 417 776 4
## 516 777 4
## 766 778 4
## 709 779 4
## 566 780 4
## 711 781 4
## 653 782 4
## 537 783 4
## 739 784 4
## 785 785 4
## 706 786 4
## 750 787 4
## 677 788 4
## 782 789 4
## 746 790 4
## 780 791 4
## 744 792 4
## 741 793 4
## 808 794 5
## 920 795 5
## 947 796 5
## 956 797 5
## 961 798 5
## 959 799 5
## 823 800 5
## 1157 801 5
## 826 802 5
## 1130 803 5
## 952 804 5
## 1171 805 5
## 814 806 5
## 962 807 5
## 829 808 5
## 1166 809 5
## 819 810 5
## 828 811 5
## 1169 812 5
## 801 813 5
## 935 814 5
## 971 815 5
## 990 816 5
## 1339 817 5
## 1348 818 5
## 992 819 5
## 1353 820 5
## 938 821 5
## 1351 822 5
## 974 823 5
## 993 824 5
## 1162 825 5
## 941 826 5
## 977 827 5
## 1398 828 5
## 1172 829 5
## 981 830 5
## 995 831 5
## 1401 832 5
## 926 833 5
## 931 834 5
## 967 835 5
## 940 836 5
## 996 837 5
## 997 838 5
## 1419 839 5
## 984 840 5
## 1344 841 5
## 1403 842 5
## 1354 843 5
## 1422 844 5
## 986 845 5
## 976 846 5
## 1404 847 5
## 1394 848 5
## 1181 849 5
## 1187 850 5
## 1145 851 5
## 1417 852 5
## 1177 853 5
## 1184 854 5
## 1203 855 5
## 1202 856 5
## 1200 857 5
## 1151 858 5
## 1191 859 5
## 987 860 5
## 1148 861 5
## 1207 862 5
## 1206 863 5
## 1141 864 5
## 1424 865 5
## 1413 866 5
## 1205 867 5
## 1136 868 5
## 1194 869 5
## 1196 870 5
## 1385 871 5
## 1150 872 5
## 1363 873 5
## 1186 874 5
## 1369 875 5
## 1408 876 5
## 1440 877 5
## 1420 878 5
## 1382 879 5
## 875 880 5
## 1373 881 5
## 1384 882 5
## 1423 883 5
## 1411 884 5
## 1388 885 5
## 1197 886 5
## 1389 887 5
## 1437 888 5
## 1428 889 5
## 1065 890 5
## 1366 891 5
## 1359 892 5
## 1443 893 5
## 1376 894 5
## 1387 895 5
## 1378 896 5
## 1458 897 5
## 1431 898 5
## 1086 899 5
## 1439 900 5
## 1456 901 5
## 1379 902 5
## 1444 903 5
## 1015 904 5
## 863 905 5
## 1434 906 5
## 1449 907 5
## 1368 908 5
## 1459 909 5
## 1414 910 5
## 1457 911 5
## 890 912 5
## 1442 913 5
## 1433 914 5
## 1275 915 5
## 877 916 5
## 1447 917 5
## 1452 918 5
## 911 919 5
## 906 920 5
## 1081 921 5
## 1454 922 5
## 900 923 5
## 1450 924 5
## 1296 925 5
## 1101 926 5
## 912 927 5
## 1062 928 5
## 854 929 5
## 1453 930 5
## 872 931 5
## 1107 932 5
## 1003 933 5
## 1095 934 5
## 836 935 5
## 1225 936 5
## 1471 937 5
## 1017 938 5
## 1030 939 5
## 1067 940 5
## 1120 941 5
## 1046 942 5
## 1075 943 5
## 1083 944 5
## 1051 945 5
## 1492 946 5
## 1087 947 5
## 883 948 5
## 1106 949 5
## 887 950 5
## 1058 951 5
## 868 952 5
## 1123 953 5
## 1040 954 5
## 893 955 5
## 1052 956 5
## 1116 957 5
## 1542 958 5
## 1012 959 5
## 1068 960 5
## 1272 961 5
## 1291 962 5
## 1305 963 5
## 1317 964 5
## 1547 965 5
## 1213 966 5
## 878 967 5
## 908 968 5
## 1277 969 5
## 1268 970 5
## 804 971 5
## 802 972 5
## 1311 973 5
## 1285 974 5
## 1111 975 5
## 1536 976 5
## 902 977 5
## 1121 978 5
## 1548 979 5
## 1487 980 5
## 913 981 5
## 1227 982 5
## 1278 983 5
## 1077 984 5
## 897 985 5
## 1297 986 5
## 1092 987 5
## 1104 988 5
## 892 989 5
## 1293 990 5
## 1088 991 5
## 1008 992 5
## 1240 993 5
## 806 994 5
## 1326 995 5
## 842 996 5
## 1561 997 5
## 1333 998 5
## 909 999 5
## 1316 1000 5
## 1481 1001 5
## 1330 1002 5
## 1468 1003 5
## 851 1004 5
## 1027 1005 5
## 1018 1006 5
## 847 1007 5
## 1250 1008 5
## 1513 1009 5
## 1033 1010 5
## 1287 1011 5
## 856 1012 5
## 1023 1013 5
## 1261 1014 5
## 1493 1015 5
## 943 1016 5
## 1262 1017 5
## 805 1018 5
## 1501 1019 5
## 1048 1020 5
## 857 1021 5
## 1103 1022 5
## 1473 1023 5
## 1256 1024 5
## 1464 1025 5
## 1222 1026 5
## 1302 1027 5
## 1489 1028 5
## 1298 1029 5
## 1117 1030 5
## 1321 1031 5
## 1507 1032 5
## 1577 1033 5
## 1557 1034 5
## 1108 1035 5
## 794 1036 5
## 1122 1037 5
## 1113 1038 5
## 1314 1039 5
## 1567 1040 5
## 1053 1041 5
## 1564 1042 5
## 1474 1043 5
## 1097 1044 5
## 1037 1045 5
## 916 1046 5
## 1042 1047 5
## 1331 1048 5
## 1098 1049 5
## 1218 1050 5
## 1529 1051 5
## 903 1052 5
## 1049 1053 5
## 1544 1054 5
## 1072 1055 5
## 1522 1056 5
## 1526 1057 5
## 1233 1058 5
## 1579 1059 5
## 1483 1060 5
## 954 1061 5
## 1533 1062 5
## 1243 1063 5
## 1308 1064 5
## 1228 1065 5
## 1573 1066 5
## 1084 1067 5
## 1307 1068 5
## 1327 1069 5
## 1032 1070 5
## 1517 1071 5
## 1318 1072 5
## 1527 1073 5
## 1572 1074 5
## 1512 1075 5
## 810 1076 5
## 1494 1077 5
## 1545 1078 5
## 1576 1079 5
## 1538 1080 5
## 914 1081 5
## 1323 1082 5
## 1549 1083 5
## 1237 1084 5
## 944 1085 5
## 1282 1086 5
## 1313 1087 5
## 1332 1088 5
## 1252 1089 5
## 1510 1090 5
## 1498 1091 5
## 1263 1092 5
## 918 1093 5
## 1585 1094 5
## 1118 1095 5
## 821 1096 5
## 1581 1097 5
## 1247 1098 5
## 820 1099 5
## 1043 1100 5
## 1523 1101 5
## 1294 1102 5
## 1258 1103 5
## 917 1104 5
## 1478 1105 5
## 1539 1106 5
## 1259 1107 5
## 803 1108 5
## 1552 1109 5
## 1328 1110 5
## 1242 1111 5
## 1504 1112 5
## 1528 1113 5
## 953 1114 5
## 1514 1115 5
## 1490 1116 5
## 1519 1117 5
## 797 1118 5
## 945 1119 5
## 1078 1120 5
## 1562 1121 5
## 1554 1122 5
## 957 1123 5
## 807 1124 5
## 1578 1125 5
## 1584 1126 5
## 1503 1127 5
## 1288 1128 5
## 1114 1129 5
## 1563 1130 5
## 1569 1131 5
## 1570 1132 5
## 1253 1133 5
## 811 1134 5
## 815 1135 5
## 1509 1136 5
## 822 1137 5
## 860 1138 5
## 1324 1139 5
## 1524 1140 5
## 968 1141 5
## 1484 1142 5
## 1558 1143 5
## 1574 1144 5
## 942 1145 5
## 824 1146 5
## 922 1147 5
## 809 1148 5
## 946 1149 5
## 813 1150 5
## 1559 1151 5
## 1153 1152 5
## 933 1153 5
## 932 1154 5
## 1520 1155 5
## 1582 1156 5
## 970 1157 5
## 873 1158 5
## 963 1159 5
## 798 1160 5
## 915 1161 5
## 988 1162 5
## 795 1163 5
## 812 1164 5
## 1583 1165 5
## 969 1166 5
## 919 1167 5
## 816 1168 5
## 948 1169 5
## 817 1170 5
## 827 1171 5
## 825 1172 5
## 799 1173 5
## 950 1174 5
## 955 1175 5
## 927 1176 5
## 859 1177 5
## 1059 1178 5
## 1154 1179 5
## 934 1180 5
## 960 1181 5
## 1124 1182 5
## 869 1183 5
## 1164 1184 5
## 796 1185 5
## 884 1186 5
## 1126 1187 5
## 991 1188 5
## 800 1189 5
## 979 1190 5
## 923 1191 5
## 1000 1192 5
## 1155 1193 5
## 1128 1194 5
## 1335 1195 5
## 833 1196 5
## 870 1197 5
## 936 1198 5
## 973 1199 5
## 1555 1200 5
## 904 1201 5
## 1013 1202 5
## 1079 1203 5
## 1152 1204 5
## 964 1205 5
## 949 1206 5
## 925 1207 5
## 1167 1208 5
## 1063 1209 5
## 958 1210 5
## 861 1211 5
## 921 1212 5
## 1346 1213 5
## 978 1214 5
## 1127 1215 5
## 989 1216 5
## 972 1217 5
## 1156 1218 5
## 880 1219 5
## 1009 1220 5
## 818 1221 5
## 830 1222 5
## 1163 1223 5
## 939 1224 5
## 937 1225 5
## 858 1226 5
## 928 1227 5
## 889 1228 5
## 999 1229 5
## 1336 1230 5
## 929 1231 5
## 924 1232 5
## 1055 1233 5
## 975 1234 5
## 865 1235 5
## 834 1236 5
## 888 1237 5
## 994 1238 5
## 1173 1239 5
## 879 1240 5
## 1395 1241 5
## 1178 1242 5
## 848 1243 5
## 862 1244 5
## 965 1245 5
## 1024 1246 5
## 1060 1247 5
## 1180 1248 5
## 1010 1249 5
## 982 1250 5
## 1064 1251 5
## 839 1252 5
## 894 1253 5
## 1089 1254 5
## 1396 1255 5
## 1337 1256 5
## 1132 1257 5
## 832 1258 5
## 1160 1259 5
## 966 1260 5
## 1345 1261 5
## 898 1262 5
## 874 1263 5
## 1349 1264 5
## 1125 1265 5
## 1100 1266 5
## 886 1267 5
## 1170 1268 5
## 1044 1269 5
## 1099 1270 5
## 1158 1271 5
## 910 1272 5
## 1269 1273 5
## 852 1274 5
## 866 1275 5
## 905 1276 5
## 1129 1277 5
## 1179 1278 5
## 1334 1279 5
## 885 1280 5
## 980 1281 5
## 1054 1282 5
## 1143 1283 5
## 1338 1284 5
## 1165 1285 5
## 1390 1286 5
## 1001 1287 5
## 838 1288 5
## 895 1289 5
## 876 1290 5
## 1198 1291 5
## 1397 1292 5
## 1210 1293 5
## 930 1294 5
## 1142 1295 5
## 951 1296 5
## 1073 1297 5
## 1174 1298 5
## 1061 1299 5
## 1137 1300 5
## 844 1301 5
## 1183 1302 5
## 1189 1303 5
## 1399 1304 5
## 1273 1305 5
## 1020 1306 5
## 1340 1307 5
## 1201 1308 5
## 1005 1309 5
## 1085 1310 5
## 1144 1311 5
## 1159 1312 5
## 1133 1313 5
## 1131 1314 5
## 1029 1315 5
## 907 1316 5
## 864 1317 5
## 1135 1318 5
## 998 1319 5
## 849 1320 5
## 1109 1321 5
## 1415 1322 5
## 1362 1323 5
## 1342 1324 5
## 1034 1325 5
## 1347 1326 5
## 985 1327 5
## 1355 1328 5
## 853 1329 5
## 1119 1330 5
## 1352 1331 5
## 1360 1332 5
## 1168 1333 5
## 1265 1334 5
## 1014 1335 5
## 1019 1336 5
## 881 1337 5
## 1223 1338 5
## 1182 1339 5
## 1045 1340 5
## 1289 1341 5
## 1002 1342 5
## 1028 1343 5
## 837 1344 5
## 1185 1345 5
## 1093 1346 5
## 1175 1347 5
## 1391 1348 5
## 1105 1349 5
## 1465 1350 5
## 831 1351 5
## 871 1352 5
## 1176 1353 5
## 1026 1354 5
## 1038 1355 5
## 1056 1356 5
## 891 1357 5
## 1146 1358 5
## 1274 1359 5
## 1400 1360 5
## 1209 1361 5
## 1050 1362 5
## 1188 1363 5
## 882 1364 5
## 843 1365 5
## 1070 1366 5
## 1006 1367 5
## 983 1368 5
## 1270 1369 5
## 1139 1370 5
## 1149 1371 5
## 841 1372 5
## 1361 1373 5
## 1069 1374 5
## 1380 1375 5
## 1066 1376 5
## 1383 1377 5
## 1199 1378 5
## 1090 1379 5
## 1134 1380 5
## 1392 1381 5
## 1094 1382 5
## 1341 1383 5
## 1371 1384 5
## 1138 1385 5
## 1299 1386 5
## 1402 1387 5
## 1025 1388 5
## 1192 1389 5
## 899 1390 5
## 1082 1391 5
## 1102 1392 5
## 1204 1393 5
## 1035 1394 5
## 1016 1395 5
## 835 1396 5
## 1264 1397 5
## 1147 1398 5
## 1219 1399 5
## 1004 1400 5
## 1350 1401 5
## 1080 1402 5
## 1406 1403 5
## 1436 1404 5
## 845 1405 5
## 850 1406 5
## 1047 1407 5
## 1425 1408 5
## 1418 1409 5
## 1485 1410 5
## 1310 1411 5
## 1365 1412 5
## 840 1413 5
## 1469 1414 5
## 1220 1415 5
## 1091 1416 5
## 1234 1417 5
## 855 1418 5
## 1356 1419 5
## 1211 1420 5
## 1438 1421 5
## 1161 1422 5
## 1435 1423 5
## 1271 1424 5
## 1011 1425 5
## 1370 1426 5
## 1381 1427 5
## 1309 1428 5
## 1283 1429 5
## 1540 1430 5
## 1208 1431 5
## 1426 1432 5
## 1190 1433 5
## 1057 1434 5
## 1461 1435 5
## 1393 1436 5
## 1230 1437 5
## 1266 1438 5
## 901 1439 5
## 1427 1440 5
## 1195 1441 5
## 1140 1442 5
## 1295 1443 5
## 1367 1444 5
## 896 1445 5
## 1470 1446 5
## 1466 1447 5
## 1364 1448 5
## 1239 1449 5
## 1212 1450 5
## 1254 1451 5
## 1409 1452 5
## 1303 1453 5
## 1021 1454 5
## 1358 1455 5
## 1386 1456 5
## 1357 1457 5
## 1215 1458 5
## 1421 1459 5
## 1276 1460 5
## 1031 1461 5
## 1229 1462 5
## 1530 1463 5
## 1115 1464 5
## 1315 1465 5
## 1374 1466 5
## 1319 1467 5
## 867 1468 5
## 1039 1469 5
## 1460 1470 5
## 1495 1471 5
## 1304 1472 5
## 1343 1473 5
## 1022 1474 5
## 1372 1475 5
## 1506 1476 5
## 1300 1477 5
## 1280 1478 5
## 1541 1479 5
## 1216 1480 5
## 1329 1481 5
## 1236 1482 5
## 1224 1483 5
## 1479 1484 5
## 1193 1485 5
## 1441 1486 5
## 1455 1487 5
## 1238 1488 5
## 1244 1489 5
## 1467 1490 5
## 1248 1491 5
## 1110 1492 5
## 1267 1493 5
## 1312 1494 5
## 1445 1495 5
## 1112 1496 5
## 1301 1497 5
## 1429 1498 5
## 1279 1499 5
## 846 1500 5
## 1491 1501 5
## 1292 1502 5
## 1534 1503 5
## 1096 1504 5
## 1260 1505 5
## 1226 1506 5
## 1505 1507 5
## 1430 1508 5
## 1405 1509 5
## 1036 1510 5
## 1377 1511 5
## 1546 1512 5
## 1255 1513 5
## 1074 1514 5
## 1076 1515 5
## 1245 1516 5
## 1416 1517 5
## 1235 1518 5
## 1214 1519 5
## 1041 1520 5
## 1462 1521 5
## 1476 1522 5
## 1515 1523 5
## 1290 1524 5
## 1525 1525 5
## 1475 1526 5
## 1531 1527 5
## 1412 1528 5
## 1257 1529 5
## 1565 1530 5
## 1432 1531 5
## 1575 1532 5
## 1007 1533 5
## 1472 1534 5
## 1448 1535 5
## 1231 1536 5
## 1488 1537 5
## 1375 1538 5
## 1499 1539 5
## 1511 1540 5
## 1543 1541 5
## 1232 1542 5
## 1221 1543 5
## 1486 1544 5
## 1241 1545 5
## 1500 1546 5
## 1496 1547 5
## 1325 1548 5
## 1535 1549 5
## 1566 1550 5
## 1508 1551 5
## 1306 1552 5
## 1550 1553 5
## 1497 1554 5
## 1463 1555 5
## 1560 1556 5
## 1286 1557 5
## 1249 1558 5
## 1407 1559 5
## 1322 1560 5
## 1071 1561 5
## 1532 1562 5
## 1284 1563 5
## 1320 1564 5
## 1451 1565 5
## 1251 1566 5
## 1521 1567 5
## 1571 1568 5
## 1246 1569 5
## 1446 1570 5
## 1217 1571 5
## 1568 1572 5
## 1516 1573 5
## 1518 1574 5
## 1410 1575 5
## 1537 1576 5
## 1482 1577 5
## 1480 1578 5
## 1502 1579 5
## 1281 1580 5
## 1556 1581 5
## 1580 1582 5
## 1477 1583 5
## 1553 1584 5
## 1551 1585 5
## 1628 1586 6
## 1631 1587 6
## 1619 1588 6
## 1633 1589 6
## 1592 1590 6
## 1810 1591 6
## 1860 1592 6
## 1813 1593 6
## 1624 1594 6
## 1881 1595 6
## 1634 1596 6
## 1815 1597 6
## 1863 1598 6
## 1801 1599 6
## 1879 1600 6
## 1884 1601 6
## 1865 1602 6
## 1806 1603 6
## 1662 1604 6
## 1816 1605 6
## 1856 1606 6
## 1866 1607 6
## 1643 1608 6
## 1870 1609 6
## 1665 1610 6
## 1664 1611 6
## 1882 1612 6
## 1653 1613 6
## 1886 1614 6
## 1875 1615 6
## 2112 1616 6
## 1607 1617 6
## 1873 1618 6
## 2062 1619 6
## 1885 1620 6
## 2115 1621 6
## 1646 1622 6
## 1668 1623 6
## 2053 1624 6
## 2133 1625 6
## 2065 1626 6
## 1667 1627 6
## 1649 1628 6
## 1656 1629 6
## 2067 1630 6
## 1610 1631 6
## 2136 1632 6
## 1639 1633 6
## 1844 1634 6
## 1669 1635 6
## 2131 1636 6
## 2117 1637 6
## 1613 1638 6
## 1847 1639 6
## 1899 1640 6
## 1658 1641 6
## 2108 1642 6
## 1902 1643 6
## 1603 1644 6
## 2308 1645 6
## 2118 1646 6
## 1835 1647 6
## 1846 1648 6
## 1825 1649 6
## 1918 1650 6
## 2329 1651 6
## 2058 1652 6
## 1890 1653 6
## 1598 1654 6
## 1612 1655 6
## 2068 1656 6
## 2311 1657 6
## 1920 1658 6
## 1648 1659 6
## 2327 1660 6
## 1659 1661 6
## 1919 1662 6
## 2127 1663 6
## 1850 1664 6
## 2332 1665 6
## 2138 1666 6
## 2122 1667 6
## 1905 1668 6
## 1909 1669 6
## 1876 1670 6
## 1911 1671 6
## 2134 1672 6
## 2125 1673 6
## 1901 1674 6
## 1838 1675 6
## 1828 1676 6
## 1831 1677 6
## 1849 1678 6
## 2137 1679 6
## 2382 1680 6
## 1893 1681 6
## 1851 1682 6
## 2313 1683 6
## 1921 1684 6
## 2314 1685 6
## 2304 1686 6
## 1821 1687 6
## 2318 1688 6
## 2330 1689 6
## 2384 1690 6
## 1840 1691 6
## 2334 1692 6
## 2323 1693 6
## 1914 1694 6
## 1904 1695 6
## 2321 1696 6
## 1906 1697 6
## 2333 1698 6
## 2401 1699 6
## 1912 1700 6
## 2387 1701 6
## 1841 1702 6
## 2385 1703 6
## 2373 1704 6
## 1896 1705 6
## 2154 1706 6
## 2128 1707 6
## 2142 1708 6
## 1830 1709 6
## 2388 1710 6
## 1895 1711 6
## 2376 1712 6
## 2099 1713 6
## 2151 1714 6
## 2157 1715 6
## 1737 1716 6
## 1915 1717 6
## 2087 1718 6
## 2096 1719 6
## 1916 1720 6
## 2172 1721 6
## 2077 1722 6
## 2145 1723 6
## 2083 1724 6
## 2403 1725 6
## 2394 1726 6
## 2171 1727 6
## 2102 1728 6
## 2170 1729 6
## 2389 1730 6
## 1758 1731 6
## 2163 1732 6
## 2378 1733 6
## 2098 1734 6
## 2161 1735 6
## 2090 1736 6
## 2324 1737 6
## 2173 1738 6
## 2073 1739 6
## 2103 1740 6
## 2404 1741 6
## 2350 1742 6
## 2397 1743 6
## 2153 1744 6
## 2080 1745 6
## 2148 1746 6
## 2158 1747 6
## 2166 1748 6
## 2101 1749 6
## 2379 1750 6
## 2092 1751 6
## 2368 1752 6
## 2367 1753 6
## 2338 1754 6
## 2164 1755 6
## 2156 1756 6
## 2147 1757 6
## 2093 1758 6
## 1753 1759 6
## 2347 1760 6
## 2392 1761 6
## 2353 1762 6
## 1687 1763 6
## 2402 1764 6
## 2357 1765 6
## 2417 1766 6
## 2359 1767 6
## 2366 1768 6
## 2168 1769 6
## 2004 1770 6
## 2167 1771 6
## 1933 1772 6
## 2369 1773 6
## 1954 1774 6
## 2082 1775 6
## 2341 1776 6
## 2407 1777 6
## 2360 1778 6
## 2399 1779 6
## 2418 1780 6
## 2349 1781 6
## 2009 1782 6
## 2344 1783 6
## 2023 1784 6
## 2354 1785 6
## 1747 1786 6
## 2362 1787 6
## 2410 1788 6
## 1949 1789 6
## 2425 1790 6
## 1734 1791 6
## 2363 1792 6
## 1759 1793 6
## 2395 1794 6
## 2416 1795 6
## 2409 1796 6
## 1998 1797 6
## 1773 1798 6
## 2364 1799 6
## 2419 1800 6
## 2352 1801 6
## 2343 1802 6
## 1767 1803 6
## 2398 1804 6
## 2010 1805 6
## 2413 1806 6
## 2421 1807 6
## 1779 1808 6
## 1755 1809 6
## 1792 1810 6
## 1739 1811 6
## 2412 1812 6
## 1730 1813 6
## 2423 1814 6
## 1675 1815 6
## 1788 1816 6
## 2019 1817 6
## 1943 1818 6
## 2256 1819 6
## 1783 1820 6
## 1795 1821 6
## 2185 1822 6
## 1689 1823 6
## 2026 1824 6
## 2414 1825 6
## 1740 1826 6
## 1955 1827 6
## 1778 1828 6
## 2261 1829 6
## 1615 1830 6
## 1793 1831 6
## 1718 1832 6
## 2250 1833 6
## 1702 1834 6
## 2424 1835 6
## 2206 1836 6
## 1749 1837 6
## 2422 1838 6
## 1930 1839 6
## 2039 1840 6
## 2029 1841 6
## 1712 1842 6
## 1723 1843 6
## 1951 1844 6
## 1684 1845 6
## 2262 1846 6
## 1626 1847 6
## 1969 1848 6
## 1724 1849 6
## 2275 1850 6
## 1760 1851 6
## 2006 1852 6
## 1988 1853 6
## 1975 1854 6
## 1963 1855 6
## 1764 1856 6
## 2038 1857 6
## 2014 1858 6
## 2438 1859 6
## 1935 1860 6
## 1979 1861 6
## 2201 1862 6
## 1789 1863 6
## 1995 1864 6
## 2047 1865 6
## 2271 1866 6
## 1991 1867 6
## 1989 1868 6
## 2043 1869 6
## 1776 1870 6
## 2024 1871 6
## 1984 1872 6
## 1625 1873 6
## 1744 1874 6
## 1926 1875 6
## 1588 1876 6
## 2041 1877 6
## 1680 1878 6
## 1616 1879 6
## 2443 1880 6
## 2457 1881 6
## 2278 1882 6
## 2007 1883 6
## 2034 1884 6
## 2035 1885 6
## 2195 1886 6
## 2432 1887 6
## 1936 1888 6
## 1945 1889 6
## 1785 1890 6
## 1756 1891 6
## 1974 1892 6
## 2444 1893 6
## 2000 1894 6
## 1690 1895 6
## 2281 1896 6
## 1629 1897 6
## 2207 1898 6
## 1794 1899 6
## 1956 1900 6
## 2291 1901 6
## 2011 1902 6
## 2016 1903 6
## 1775 1904 6
## 2182 1905 6
## 2493 1906 6
## 2453 1907 6
## 2258 1908 6
## 1769 1909 6
## 1770 1910 6
## 2247 1911 6
## 1797 1912 6
## 1695 1913 6
## 1780 1914 6
## 1940 1915 6
## 2460 1916 6
## 1699 1917 6
## 2025 1918 6
## 2215 1919 6
## 1808 1920 6
## 2227 1921 6
## 2178 1922 6
## 1985 1923 6
## 1705 1924 6
## 1586 1925 6
## 2484 1926 6
## 2203 1927 6
## 2266 1928 6
## 2187 1929 6
## 1617 1930 6
## 2046 1931 6
## 1709 1932 6
## 2287 1933 6
## 1720 1934 6
## 1960 1935 6
## 2020 1936 6
## 2252 1937 6
## 1590 1938 6
## 1589 1939 6
## 1972 1940 6
## 2259 1941 6
## 1857 1942 6
## 2293 1943 6
## 2494 1944 6
## 2286 1945 6
## 1952 1946 6
## 2489 1947 6
## 1714 1948 6
## 2001 1949 6
## 2221 1950 6
## 2188 1951 6
## 2496 1952 6
## 2295 1953 6
## 1725 1954 6
## 2276 1955 6
## 1721 1956 6
## 1750 1957 6
## 1807 1958 6
## 2236 1959 6
## 2263 1960 6
## 2290 1961 6
## 2243 1962 6
## 2299 1963 6
## 2197 1964 6
## 1981 1965 6
## 1990 1966 6
## 1790 1967 6
## 2040 1968 6
## 2448 1969 6
## 2231 1970 6
## 2031 1971 6
## 2044 1972 6
## 1620 1973 6
## 2473 1974 6
## 1614 1975 6
## 2240 1976 6
## 2463 1977 6
## 2268 1978 6
## 2032 1979 6
## 2241 1980 6
## 2253 1981 6
## 1858 1982 6
## 2208 1983 6
## 2458 1984 6
## 2440 1985 6
## 1618 1986 6
## 1877 1987 6
## 2429 1988 6
## 1786 1989 6
## 1627 1990 6
## 2490 1991 6
## 2272 1992 6
## 1704 1993 6
## 2226 1994 6
## 2298 1995 6
## 1971 1996 6
## 2277 1997 6
## 2498 1998 6
## 1640 1999 6
## 2441 2000 6
## 2481 2001 6
## 1966 2002 6
## 1976 2003 6
## 1798 2004 6
## 2021 2005 6
## 2477 2006 6
## 2192 2007 6
## 2469 2008 6
## 1965 2009 6
## 2237 2010 6
## 2502 2011 6
## 1715 2012 6
## 2475 2013 6
## 1622 2014 6
## 2212 2015 6
## 2434 2016 6
## 1811 2017 6
## 1946 2018 6
## 2450 2019 6
## 2468 2020 6
## 2224 2021 6
## 1632 2022 6
## 2508 2023 6
## 2445 2024 6
## 2284 2025 6
## 2283 2026 6
## 2454 2027 6
## 2472 2028 6
## 1660 2029 6
## 1635 2030 6
## 2292 2031 6
## 1852 2032 6
## 2504 2033 6
## 2036 2034 6
## 2459 2035 6
## 2505 2036 6
## 2204 2037 6
## 1986 2038 6
## 2045 2039 6
## 1621 2040 6
## 1642 2041 6
## 2296 2042 6
## 2273 2043 6
## 1982 2044 6
## 1859 2045 6
## 2486 2046 6
## 1587 2047 6
## 2233 2048 6
## 2480 2049 6
## 2435 2050 6
## 2218 2051 6
## 1630 2052 6
## 2495 2053 6
## 2242 2054 6
## 1802 2055 6
## 1604 2056 6
## 1861 2057 6
## 1799 2058 6
## 2501 2059 6
## 2217 2060 6
## 1594 2061 6
## 1591 2062 6
## 2288 2063 6
## 2228 2064 6
## 1641 2065 6
## 2507 2066 6
## 1809 2067 6
## 1651 2068 6
## 2478 2069 6
## 2198 2070 6
## 1605 2071 6
## 1731 2072 6
## 1663 2073 6
## 1650 2074 6
## 2017 2075 6
## 1868 2076 6
## 2223 2077 6
## 2455 2078 6
## 2487 2079 6
## 2466 2080 6
## 2297 2081 6
## 2474 2082 6
## 2238 2083 6
## 1880 2084 6
## 1599 2085 6
## 1661 2086 6
## 2465 2087 6
## 1796 2088 6
## 2491 2089 6
## 1606 2090 6
## 2509 2091 6
## 1800 2092 6
## 1853 2093 6
## 2234 2094 6
## 1751 2095 6
## 1862 2096 6
## 1636 2097 6
## 1804 2098 6
## 1822 2099 6
## 2269 2100 6
## 1645 2101 6
## 1814 2102 6
## 2479 2103 6
## 2470 2104 6
## 1842 2105 6
## 1803 2106 6
## 2506 2107 6
## 2451 2108 6
## 1735 2109 6
## 1824 2110 6
## 1817 2111 6
## 2049 2112 6
## 1812 2113 6
## 1595 2114 6
## 1898 2115 6
## 1644 2116 6
## 1887 2117 6
## 2499 2118 6
## 1672 2119 6
## 2109 2120 6
## 1854 2121 6
## 1867 2122 6
## 1654 2123 6
## 1623 2124 6
## 1608 2125 6
## 1864 2126 6
## 1666 2127 6
## 2500 2128 6
## 1897 2129 6
## 1845 2130 6
## 1871 2131 6
## 1878 2132 6
## 1833 2133 6
## 2060 2134 6
## 1883 2135 6
## 1652 2136 6
## 1727 2137 6
## 1685 2138 6
## 1832 2139 6
## 1927 2140 6
## 1843 2141 6
## 1823 2142 6
## 2110 2143 6
## 1593 2144 6
## 1597 2145 6
## 1600 2146 6
## 1681 2147 6
## 1637 2148 6
## 1647 2149 6
## 1609 2150 6
## 1947 2151 6
## 1638 2152 6
## 1900 2153 6
## 1736 2154 6
## 2050 2155 6
## 1888 2156 6
## 1917 2157 6
## 2104 2158 6
## 1601 2159 6
## 1611 2160 6
## 2002 2161 6
## 1907 2162 6
## 1732 2163 6
## 2129 2164 6
## 1761 2165 6
## 2059 2166 6
## 1855 2167 6
## 1889 2168 6
## 2111 2169 6
## 1745 2170 6
## 1596 2171 6
## 1671 2172 6
## 2063 2173 6
## 2113 2174 6
## 1772 2175 6
## 1827 2176 6
## 1726 2177 6
## 2051 2178 6
## 2305 2179 6
## 1818 2180 6
## 1757 2181 6
## 1657 2182 6
## 1682 2183 6
## 1771 2184 6
## 1931 2185 6
## 1655 2186 6
## 1992 2187 6
## 1834 2188 6
## 1805 2189 6
## 2048 2190 6
## 2105 2191 6
## 1741 2192 6
## 1696 2193 6
## 2306 2194 6
## 1848 2195 6
## 1781 2196 6
## 1733 2197 6
## 2003 2198 6
## 2120 2199 6
## 2054 2200 6
## 1836 2201 6
## 2325 2202 6
## 1826 2203 6
## 1602 2204 6
## 1869 2205 6
## 2114 2206 6
## 2052 2207 6
## 1716 2208 6
## 1874 2209 6
## 1923 2210 6
## 1910 2211 6
## 1791 2212 6
## 2132 2213 6
## 1752 2214 6
## 1903 2215 6
## 1677 2216 6
## 2300 2217 6
## 2061 2218 6
## 2106 2219 6
## 1742 2220 6
## 2056 2221 6
## 1891 2222 6
## 1829 2223 6
## 2307 2224 6
## 1932 2225 6
## 2116 2226 6
## 1673 2227 6
## 1928 2228 6
## 2066 2229 6
## 1819 2230 6
## 1892 2231 6
## 1728 2232 6
## 1820 2233 6
## 1686 2234 6
## 1941 2235 6
## 1765 2236 6
## 1706 2237 6
## 1957 2238 6
## 1754 2239 6
## 1692 2240 6
## 2012 2241 6
## 1996 2242 6
## 1670 2243 6
## 2069 2244 6
## 2139 2245 6
## 2123 2246 6
## 2316 2247 6
## 2309 2248 6
## 1937 2249 6
## 2055 2250 6
## 1777 2251 6
## 1968 2252 6
## 2076 2253 6
## 2150 2254 6
## 1953 2255 6
## 2074 2256 6
## 1908 2257 6
## 2022 2258 6
## 1738 2259 6
## 1922 2260 6
## 2008 2261 6
## 1701 2262 6
## 1766 2263 6
## 2380 2264 6
## 2328 2265 6
## 2107 2266 6
## 2135 2267 6
## 1872 2268 6
## 1717 2269 6
## 2064 2270 6
## 1762 2271 6
## 1839 2272 6
## 1837 2273 6
## 2119 2274 6
## 1967 2275 6
## 1948 2276 6
## 1977 2277 6
## 1674 2278 6
## 1710 2279 6
## 1691 2280 6
## 1678 2281 6
## 2027 2282 6
## 2301 2283 6
## 2179 2284 6
## 2140 2285 6
## 1929 2286 6
## 2149 2287 6
## 1987 2288 6
## 2152 2289 6
## 2037 2290 6
## 2094 2291 6
## 1700 2292 6
## 2085 2293 6
## 2130 2294 6
## 2310 2295 6
## 1894 2296 6
## 1774 2297 6
## 1676 2298 6
## 2141 2299 6
## 1938 2300 6
## 1722 2301 6
## 2097 2302 6
## 1993 2303 6
## 2254 2304 6
## 1729 2305 6
## 1763 2306 6
## 2075 2307 6
## 1913 2308 6
## 2370 2309 6
## 1698 2310 6
## 1688 2311 6
## 2084 2312 6
## 2381 2313 6
## 2302 2314 6
## 2005 2315 6
## 2028 2316 6
## 1707 2317 6
## 1997 2318 6
## 1950 2319 6
## 2371 2320 6
## 2315 2321 6
## 2244 2322 6
## 2199 2323 6
## 2159 2324 6
## 2312 2325 6
## 1782 2326 6
## 1746 2327 6
## 1787 2328 6
## 2095 2329 6
## 2383 2330 6
## 2070 2331 6
## 2169 2332 6
## 2319 2333 6
## 2079 2334 6
## 1683 2335 6
## 2326 2336 6
## 1697 2337 6
## 2183 2338 6
## 2331 2339 6
## 2346 2340 6
## 1719 2341 6
## 2126 2342 6
## 2335 2343 6
## 1924 2344 6
## 2255 2345 6
## 2057 2346 6
## 2175 2347 6
## 1961 2348 6
## 2155 2349 6
## 2143 2350 6
## 1973 2351 6
## 2121 2352 6
## 2303 2353 6
## 2144 2354 6
## 1748 2355 6
## 1934 2356 6
## 1784 2357 6
## 2248 2358 6
## 2086 2359 6
## 2348 2360 6
## 2088 2361 6
## 1994 2362 6
## 2100 2363 6
## 1962 2364 6
## 2162 2365 6
## 2072 2366 6
## 2184 2367 6
## 1958 2368 6
## 2081 2369 6
## 2078 2370 6
## 2071 2371 6
## 2372 2372 6
## 1711 2373 6
## 2436 2374 6
## 2336 2375 6
## 2337 2376 6
## 2345 2377 6
## 2374 2378 6
## 2365 2379 6
## 1970 2380 6
## 2180 2381 6
## 2386 2382 6
## 2260 2383 6
## 2355 2384 6
## 1693 2385 6
## 2042 2386 6
## 2018 2387 6
## 1978 2388 6
## 2174 2389 6
## 2193 2390 6
## 1959 2391 6
## 2390 2392 6
## 2317 2393 6
## 2209 2394 6
## 1768 2395 6
## 2426 2396 6
## 2264 2397 6
## 1942 2398 6
## 2400 2399 6
## 2146 2400 6
## 1694 2401 6
## 1703 2402 6
## 1925 2403 6
## 2124 2404 6
## 2322 2405 6
## 2245 2406 6
## 2033 2407 6
## 1743 2408 6
## 1983 2409 6
## 2205 2410 6
## 2220 2411 6
## 2437 2412 6
## 2249 2413 6
## 2279 2414 6
## 2091 2415 6
## 2274 2416 6
## 2181 2417 6
## 2415 2418 6
## 1708 2419 6
## 2160 2420 6
## 2358 2421 6
## 2030 2422 6
## 2189 2423 6
## 2257 2424 6
## 2375 2425 6
## 2289 2426 6
## 2405 2427 6
## 2089 2428 6
## 1999 2429 6
## 1679 2430 6
## 1980 2431 6
## 2280 2432 6
## 2165 2433 6
## 2190 2434 6
## 1944 2435 6
## 2351 2436 6
## 2229 2437 6
## 2015 2438 6
## 2446 2439 6
## 2406 2440 6
## 1713 2441 6
## 2219 2442 6
## 2176 2443 6
## 2430 2444 6
## 2377 2445 6
## 2340 2446 6
## 2013 2447 6
## 2339 2448 6
## 2200 2449 6
## 2320 2450 6
## 2239 2451 6
## 2456 2452 6
## 2246 2453 6
## 2442 2454 6
## 2202 2455 6
## 2408 2456 6
## 1939 2457 6
## 2393 2458 6
## 2356 2459 6
## 2482 2460 6
## 2186 2461 6
## 2213 2462 6
## 2427 2463 6
## 2214 2464 6
## 2492 2465 6
## 2225 2466 6
## 2342 2467 6
## 2210 2468 6
## 1964 2469 6
## 2177 2470 6
## 2461 2471 6
## 2439 2472 6
## 2270 2473 6
## 2431 2474 6
## 2471 2475 6
## 2285 2476 6
## 2211 2477 6
## 2361 2478 6
## 2251 2479 6
## 2222 2480 6
## 2462 2481 6
## 2294 2482 6
## 2282 2483 6
## 2396 2484 6
## 2483 2485 6
## 2194 2486 6
## 2428 2487 6
## 2235 2488 6
## 2411 2489 6
## 2420 2490 6
## 2230 2491 6
## 2267 2492 6
## 2196 2493 6
## 2452 2494 6
## 2232 2495 6
## 2476 2496 6
## 2488 2497 6
## 2265 2498 6
## 2391 2499 6
## 2503 2500 6
## 2216 2501 6
## 2467 2502 6
## 2433 2503 6
## 2449 2504 6
## 2191 2505 6
## 2464 2506 6
## 2485 2507 6
## 2447 2508 6
## 2497 2509 6
## 2593 2510 7
## 2574 2511 7
## 2595 2512 7
## 2524 2513 7
## 2577 2514 7
## 2598 2515 7
## 2527 2516 7
## 2529 2517 7
## 2789 2518 7
## 2515 2519 7
## 2791 2520 7
## 2584 2521 7
## 2579 2522 7
## 2770 2523 7
## 2596 2524 7
## 2844 2525 7
## 2587 2526 7
## 2570 2527 7
## 2599 2528 7
## 2580 2529 7
## 2863 2530 7
## 2589 2531 7
## 2794 2532 7
## 2600 2533 7
## 2773 2534 7
## 2520 2535 7
## 2530 2536 7
## 2846 2537 7
## 2780 2538 7
## 2792 2539 7
## 2835 2540 7
## 2849 2541 7
## 2847 2542 7
## 2775 2543 7
## 2783 2544 7
## 2795 2545 7
## 2856 2546 7
## 2865 2547 7
## 2785 2548 7
## 2766 2549 7
## 2796 2550 7
## 2776 2551 7
## 2590 2552 7
## 2838 2553 7
## 2850 2554 7
## 2613 2555 7
## 2854 2556 7
## 2864 2557 7
## 2633 2558 7
## 2632 2559 7
## 2616 2560 7
## 2623 2561 7
## 2859 2562 7
## 2866 2563 7
## 2558 2564 7
## 2604 2565 7
## 2634 2566 7
## 2561 2567 7
## 2625 2568 7
## 2549 2569 7
## 2980 2570 7
## 3054 2571 7
## 3001 2572 7
## 2851 2573 7
## 2840 2574 7
## 2619 2575 7
## 2999 2576 7
## 2560 2577 7
## 2539 2578 7
## 2983 2579 7
## 2607 2580 7
## 3004 2581 7
## 2635 2582 7
## 3073 2583 7
## 2615 2584 7
## 2786 2585 7
## 2564 2586 7
## 2626 2587 7
## 3056 2588 7
## 2829 2589 7
## 2628 2590 7
## 2552 2591 7
## 2841 2592 7
## 3045 2593 7
## 2879 2594 7
## 2819 2595 7
## 3059 2596 7
## 2812 2597 7
## 2828 2598 7
## 3057 2599 7
## 2809 2600 7
## 2830 2601 7
## 2990 2602 7
## 2857 2603 7
## 2542 2604 7
## 2563 2605 7
## 2985 2606 7
## 2545 2607 7
## 3048 2608 7
## 2618 2609 7
## 3002 2610 7
## 2976 2611 7
## 2861 2612 7
## 2629 2613 7
## 3060 2614 7
## 2565 2615 7
## 2869 2616 7
## 3194 2617 7
## 2800 2618 7
## 2610 2619 7
## 2986 2620 7
## 2887 2621 7
## 2620 2622 7
## 2993 2623 7
## 3066 2624 7
## 3213 2625 7
## 2821 2626 7
## 2535 2627 7
## 2995 2628 7
## 2860 2629 7
## 3075 2630 7
## 3005 2631 7
## 3006 2632 7
## 2554 2633 7
## 2609 2634 7
## 3069 2635 7
## 2883 2636 7
## 2630 2637 7
## 2878 2638 7
## 2555 2639 7
## 3076 2640 7
## 2815 2641 7
## 2822 2642 7
## 2880 2643 7
## 3050 2644 7
## 3196 2645 7
## 3064 2646 7
## 2831 2647 7
## 3061 2648 7
## 3074 2649 7
## 2872 2650 7
## 3185 2651 7
## 3197 2652 7
## 2811 2653 7
## 2803 2654 7
## 2871 2655 7
## 3206 2656 7
## 3215 2657 7
## 3199 2658 7
## 2824 2659 7
## 3051 2660 7
## 2544 2661 7
## 3188 2662 7
## 3200 2663 7
## 3204 2664 7
## 2885 2665 7
## 3214 2666 7
## 2881 2667 7
## 2825 2668 7
## 2996 2669 7
## 2884 2670 7
## 3216 2671 7
## 3209 2672 7
## 3249 2673 7
## 2875 2674 7
## 2816 2675 7
## 3071 2676 7
## 2814 2677 7
## 2806 2678 7
## 2874 2679 7
## 3067 2680 7
## 2826 2681 7
## 3201 2682 7
## 3190 2683 7
## 3250 2684 7
## 3240 2685 7
## 3089 2686 7
## 3070 2687 7
## 2886 2688 7
## 3022 2689 7
## 2805 2690 7
## 2718 2691 7
## 3079 2692 7
## 3039 2693 7
## 3191 2694 7
## 3010 2695 7
## 3251 2696 7
## 3040 2697 7
## 3242 2698 7
## 3029 2699 7
## 3207 2700 7
## 2737 2701 7
## 3097 2702 7
## 3019 2703 7
## 2876 2704 7
## 3082 2705 7
## 3031 2706 7
## 3211 2707 7
## 3025 2708 7
## 3090 2709 7
## 3258 2710 7
## 3252 2711 7
## 3254 2712 7
## 3038 2713 7
## 2723 2714 7
## 3245 2715 7
## 3093 2716 7
## 3210 2717 7
## 2647 2718 7
## 3032 2719 7
## 3041 2720 7
## 3013 2721 7
## 3243 2722 7
## 3081 2723 7
## 2668 2724 7
## 2712 2725 7
## 3088 2726 7
## 3229 2727 7
## 3085 2728 7
## 3091 2729 7
## 3034 2730 7
## 3246 2731 7
## 3095 2732 7
## 2724 2733 7
## 2663 2734 7
## 3016 2735 7
## 3237 2736 7
## 3021 2737 7
## 3035 2738 7
## 2733 2739 7
## 3094 2740 7
## 3084 2741 7
## 3219 2742 7
## 3026 2743 7
## 2900 2744 7
## 2919 2745 7
## 3036 2746 7
## 3222 2747 7
## 2740 2748 7
## 3230 2749 7
## 3096 2750 7
## 3256 2751 7
## 3233 2752 7
## 3247 2753 7
## 3015 2754 7
## 3086 2755 7
## 3024 2756 7
## 2955 2757 7
## 3235 2758 7
## 3257 2759 7
## 2728 2760 7
## 3234 2761 7
## 3221 2762 7
## 2657 2763 7
## 2905 2764 7
## 3228 2765 7
## 3225 2766 7
## 3231 2767 7
## 3264 2768 7
## 2946 2769 7
## 2743 2770 7
## 2894 2771 7
## 2738 2772 7
## 2669 2773 7
## 3261 2774 7
## 2753 2775 7
## 3255 2776 7
## 2956 2777 7
## 2915 2778 7
## 2906 2779 7
## 3236 2780 7
## 3260 2781 7
## 3224 2782 7
## 2720 2783 7
## 2922 2784 7
## 2757 2785 7
## 2709 2786 7
## 2951 2787 7
## 3262 2788 7
## 2644 2789 7
## 2910 2790 7
## 3226 2791 7
## 2960 2792 7
## 2761 2793 7
## 2571 2794 7
## 2665 2795 7
## 2958 2796 7
## 2964 2797 7
## 2752 2798 7
## 2920 2799 7
## 2683 2800 7
## 2721 2801 7
## 3265 2802 7
## 2591 2803 7
## 2748 2804 7
## 2677 2805 7
## 2693 2806 7
## 2749 2807 7
## 2734 2808 7
## 2702 2809 7
## 2730 2810 7
## 2755 2811 7
## 2689 2812 7
## 3263 2813 7
## 2714 2814 7
## 3110 2815 7
## 2649 2816 7
## 2703 2817 7
## 2640 2818 7
## 2698 2819 7
## 2952 2820 7
## 2511 2821 7
## 2522 2822 7
## 2925 2823 7
## 3165 2824 7
## 2705 2825 7
## 2935 2826 7
## 2739 2827 7
## 2572 2828 7
## 3129 2829 7
## 2725 2830 7
## 3156 2831 7
## 3104 2832 7
## 3115 2833 7
## 2521 2834 7
## 2659 2835 7
## 2760 2836 7
## 2902 2837 7
## 2943 2838 7
## 2939 2839 7
## 2650 2840 7
## 3161 2841 7
## 3166 2842 7
## 2758 2843 7
## 3116 2844 7
## 2891 2845 7
## 2970 2846 7
## 2670 2847 7
## 2715 2848 7
## 3125 2849 7
## 2966 2850 7
## 2654 2851 7
## 2688 2852 7
## 2566 2853 7
## 3168 2854 7
## 2916 2855 7
## 2963 2856 7
## 2967 2857 7
## 2912 2858 7
## 2903 2859 7
## 2934 2860 7
## 2699 2861 7
## 3132 2862 7
## 3170 2863 7
## 2573 2864 7
## 2948 2865 7
## 2921 2866 7
## 2937 2867 7
## 3162 2868 7
## 2931 2869 7
## 2666 2870 7
## 3277 2871 7
## 2930 2872 7
## 2745 2873 7
## 2582 2874 7
## 2767 2875 7
## 2735 2876 7
## 2512 2877 7
## 2957 2878 7
## 3268 2879 7
## 3174 2880 7
## 2787 2881 7
## 2896 2882 7
## 2674 2883 7
## 3120 2884 7
## 2746 2885 7
## 2575 2886 7
## 2525 2887 7
## 2754 2888 7
## 2940 2889 7
## 2594 2890 7
## 3278 2891 7
## 2907 2892 7
## 2942 2893 7
## 2686 2894 7
## 2971 2895 7
## 2695 2896 7
## 3130 2897 7
## 3273 2898 7
## 2969 2899 7
## 3282 2900 7
## 2516 2901 7
## 3135 2902 7
## 2704 2903 7
## 3280 2904 7
## 2961 2905 7
## 2581 2906 7
## 3286 2907 7
## 2949 2908 7
## 3145 2909 7
## 2567 2910 7
## 3101 2911 7
## 2768 2912 7
## 3173 2913 7
## 2897 2914 7
## 2759 2915 7
## 3112 2916 7
## 2523 2917 7
## 3177 2918 7
## 2731 2919 7
## 3176 2920 7
## 2592 2921 7
## 2660 2922 7
## 3158 2923 7
## 2576 2924 7
## 3180 2925 7
## 2842 2926 7
## 3274 2927 7
## 3149 2928 7
## 2513 2929 7
## 3126 2930 7
## 2750 2931 7
## 3295 2932 7
## 3113 2933 7
## 2680 2934 7
## 2917 2935 7
## 3153 2936 7
## 3122 2937 7
## 2685 2938 7
## 3106 2939 7
## 3141 2940 7
## 2679 2941 7
## 3299 2942 7
## 3167 2943 7
## 2953 2944 7
## 2585 2945 7
## 2690 2946 7
## 2936 2947 7
## 2927 2948 7
## 2928 2949 7
## 3147 2950 7
## 3140 2951 7
## 2762 2952 7
## 2597 2953 7
## 3117 2954 7
## 3179 2955 7
## 2696 2956 7
## 2510 2957 7
## 3131 2958 7
## 3285 2959 7
## 2962 2960 7
## 2778 2961 7
## 2700 2962 7
## 2769 2963 7
## 3159 2964 7
## 2568 2965 7
## 3144 2966 7
## 2913 2967 7
## 2790 2968 7
## 3107 2969 7
## 3152 2970 7
## 2518 2971 7
## 2517 2972 7
## 3181 2973 7
## 3296 2974 7
## 2514 2975 7
## 2941 2976 7
## 2832 2977 7
## 2601 2978 7
## 2968 2979 7
## 2578 2980 7
## 3289 2981 7
## 3171 2982 7
## 3292 2983 7
## 3163 2984 7
## 3270 2985 7
## 3150 2986 7
## 2528 2987 7
## 2612 2988 7
## 2843 2989 7
## 3298 2990 7
## 3288 2991 7
## 2526 2992 7
## 2777 2993 7
## 2771 2994 7
## 3279 2995 7
## 2788 2996 7
## 3127 2997 7
## 2536 2998 7
## 3283 2999 7
## 2611 3000 7
## 2932 3001 7
## 2556 3002 7
## 2833 3003 7
## 2621 3004 7
## 3293 3005 7
## 3172 3006 7
## 2569 3007 7
## 3138 3008 7
## 2631 3009 7
## 2583 3010 7
## 2845 3011 7
## 3271 3012 7
## 3291 3013 7
## 2852 3014 7
## 2531 3015 7
## 3137 3016 7
## 2862 3017 7
## 3146 3018 7
## 2538 3019 7
## 2546 3020 7
## 2763 3021 7
## 3178 3022 7
## 2602 3023 7
## 3301 3024 7
## 2614 3025 7
## 3300 3026 7
## 2547 3027 7
## 2772 3028 7
## 2557 3029 7
## 3275 3030 7
## 2559 3031 7
## 3123 3032 7
## 2781 3033 7
## 2603 3034 7
## 2716 3035 7
## 3151 3036 7
## 3284 3037 7
## 2793 3038 7
## 2588 3039 7
## 3142 3040 7
## 2641 3041 7
## 2537 3042 7
## 2834 3043 7
## 3297 3044 7
## 2661 3045 7
## 2706 3046 7
## 2586 3047 7
## 2764 3048 7
## 2808 3049 7
## 2624 3050 7
## 2797 3051 7
## 3290 3052 7
## 2519 3053 7
## 2836 3054 7
## 2774 3055 7
## 2848 3056 7
## 2779 3057 7
## 2827 3058 7
## 2622 3059 7
## 2717 3060 7
## 2977 3061 7
## 2817 3062 7
## 2548 3063 7
## 2532 3064 7
## 2807 3065 7
## 2541 3066 7
## 2605 3067 7
## 2617 3068 7
## 2726 3069 7
## 2855 3070 7
## 2997 3071 7
## 2606 3072 7
## 2550 3073 7
## 2978 3074 7
## 2765 3075 7
## 2645 3076 7
## 2562 3077 7
## 2810 3078 7
## 2877 3079 7
## 2798 3080 7
## 3052 3081 7
## 2867 3082 7
## 2898 3083 7
## 2736 3084 7
## 2837 3085 7
## 2799 3086 7
## 2972 3087 7
## 2540 3088 7
## 2710 3089 7
## 2784 3090 7
## 2637 3091 7
## 2868 3092 7
## 3042 3093 7
## 2979 3094 7
## 2722 3095 7
## 2820 3096 7
## 2627 3097 7
## 2782 3098 7
## 2888 3099 7
## 2988 3100 7
## 2533 3101 7
## 2655 3102 7
## 2543 3103 7
## 2646 3104 7
## 3053 3105 7
## 2534 3106 7
## 2651 3107 7
## 2818 3108 7
## 3043 3109 7
## 2981 3110 7
## 2839 3111 7
## 2608 3112 7
## 2551 3113 7
## 3000 3114 7
## 2853 3115 7
## 2642 3116 7
## 2899 3117 7
## 2908 3118 7
## 2858 3119 7
## 3055 3120 7
## 2741 3121 7
## 2667 3122 7
## 2671 3123 7
## 2870 3124 7
## 2707 3125 7
## 2711 3126 7
## 2973 3127 7
## 2553 3128 7
## 2662 3129 7
## 2944 3130 7
## 2636 3131 7
## 2918 3132 7
## 2882 3133 7
## 2751 3134 7
## 3192 3135 7
## 2987 3136 7
## 2982 3137 7
## 2682 3138 7
## 2742 3139 7
## 3062 3140 7
## 2813 3141 7
## 2691 3142 7
## 2954 3143 7
## 2719 3144 7
## 3044 3145 7
## 2801 3146 7
## 3072 3147 7
## 2652 3148 7
## 2998 3149 7
## 2991 3150 7
## 2802 3151 7
## 3046 3152 7
## 2974 3153 7
## 2681 3154 7
## 2643 3155 7
## 3182 3156 7
## 2701 3157 7
## 3003 3158 7
## 2892 3159 7
## 3058 3160 7
## 2984 3161 7
## 2732 3162 7
## 3193 3163 7
## 3183 3164 7
## 2664 3165 7
## 2708 3166 7
## 2904 3167 7
## 2823 3168 7
## 3195 3169 7
## 2756 3170 7
## 3007 3171 7
## 3202 3172 7
## 2945 3173 7
## 2975 3174 7
## 3018 3175 7
## 3047 3176 7
## 3212 3177 7
## 2727 3178 7
## 2638 3179 7
## 2873 3180 7
## 2889 3181 7
## 2923 3182 7
## 2989 3183 7
## 3065 3184 7
## 2804 3185 7
## 2933 3186 7
## 2675 3187 7
## 2893 3188 7
## 3184 3189 7
## 3077 3190 7
## 3027 3191 7
## 2901 3192 7
## 3049 3193 7
## 2648 3194 7
## 2656 3195 7
## 3008 3196 7
## 2924 3197 7
## 3087 3198 7
## 3009 3199 7
## 2747 3200 7
## 2687 3201 7
## 3020 3202 7
## 2729 3203 7
## 2994 3204 7
## 2676 3205 7
## 3037 3206 7
## 3078 3207 7
## 2692 3208 7
## 3017 3209 7
## 3108 3210 7
## 2672 3211 7
## 3186 3212 7
## 2713 3213 7
## 3098 3214 7
## 3198 3215 7
## 2914 3216 7
## 3238 3217 7
## 2959 3218 7
## 2744 3219 7
## 2639 3220 7
## 2950 3221 7
## 3205 3222 7
## 3248 3223 7
## 2673 3224 7
## 2938 3225 7
## 2684 3226 7
## 3080 3227 7
## 3068 3228 7
## 2992 3229 7
## 2909 3230 7
## 2697 3231 7
## 2965 3232 7
## 2890 3233 7
## 3030 3234 7
## 3154 3235 7
## 3109 3236 7
## 3063 3237 7
## 3187 3238 7
## 2658 3239 7
## 3118 3240 7
## 3164 3241 7
## 3028 3242 7
## 2694 3243 7
## 3012 3244 7
## 2911 3245 7
## 3023 3246 7
## 2947 3247 7
## 3011 3248 7
## 2653 3249 7
## 3102 3250 7
## 3092 3251 7
## 3227 3252 7
## 3239 3253 7
## 3217 3254 7
## 3128 3255 7
## 3218 3256 7
## 3189 3257 7
## 3241 3258 7
## 3203 3259 7
## 3114 3260 7
## 3155 3261 7
## 2929 3262 7
## 3208 3263 7
## 3083 3264 7
## 3099 3265 7
## 3220 3266 7
## 3014 3267 7
## 3033 3268 7
## 3266 3269 7
## 2926 3270 7
## 2895 3271 7
## 3103 3272 7
## 3232 3273 7
## 3276 3274 7
## 3133 3275 7
## 2678 3276 7
## 3111 3277 7
## 3160 3278 7
## 3134 3279 7
## 3143 3280 7
## 3244 3281 7
## 3100 3282 7
## 3175 3283 7
## 3124 3284 7
## 3267 3285 7
## 3253 3286 7
## 3169 3287 7
## 3259 3288 7
## 3157 3289 7
## 3223 3290 7
## 3148 3291 7
## 3119 3292 7
## 3121 3293 7
## 3105 3294 7
## 3281 3295 7
## 3139 3296 7
## 3272 3297 7
## 3136 3298 7
## 3287 3299 7
## 3294 3300 7
## 3269 3301 7
## 3384 3302 8
## 3403 3303 8
## 3329 3304 8
## 3331 3305 8
## 3310 3306 8
## 3386 3307 8
## 3334 3308 8
## 3313 3309 8
## 3375 3310 8
## 3394 3311 8
## 3396 3312 8
## 3543 3313 8
## 3389 3314 8
## 3387 3315 8
## 3320 3316 8
## 3404 3317 8
## 3405 3318 8
## 3524 3319 8
## 3332 3320 8
## 3378 3321 8
## 3390 3322 8
## 3399 3323 8
## 3323 3324 8
## 3406 3325 8
## 3335 3326 8
## 3315 3327 8
## 3526 3328 8
## 3325 3329 8
## 3306 3330 8
## 3579 3331 8
## 3336 3332 8
## 3534 3333 8
## 3316 3334 8
## 3544 3335 8
## 3536 3336 8
## 3545 3337 8
## 3380 3338 8
## 3515 3339 8
## 3391 3340 8
## 3527 3341 8
## 3397 3342 8
## 3529 3343 8
## 3570 3344 8
## 3580 3345 8
## 3381 3346 8
## 3584 3347 8
## 3400 3348 8
## 3539 3349 8
## 3588 3350 8
## 3546 3351 8
## 3518 3352 8
## 3530 3353 8
## 3401 3354 8
## 3326 3355 8
## 3572 3356 8
## 3581 3357 8
## 3419 3358 8
## 3409 3359 8
## 3537 3360 8
## 3427 3361 8
## 3369 3362 8
## 3359 3363 8
## 3423 3364 8
## 3575 3365 8
## 3520 3366 8
## 3582 3367 8
## 3531 3368 8
## 3573 3369 8
## 3368 3370 8
## 3349 3371 8
## 3540 3372 8
## 3352 3373 8
## 3370 3374 8
## 3644 3375 8
## 3663 3376 8
## 3418 3377 8
## 3586 3378 8
## 3340 3379 8
## 3361 3380 8
## 3412 3381 8
## 3521 3382 8
## 3541 3383 8
## 3420 3384 8
## 3424 3385 8
## 3576 3386 8
## 3411 3387 8
## 3425 3388 8
## 3362 3389 8
## 3585 3390 8
## 3699 3391 8
## 3559 3392 8
## 3646 3393 8
## 3567 3394 8
## 3587 3395 8
## 3355 3396 8
## 3635 3397 8
## 3371 3398 8
## 3656 3399 8
## 3690 3400 8
## 3647 3401 8
## 3415 3402 8
## 3421 3403 8
## 3343 3404 8
## 3654 3405 8
## 3549 3406 8
## 3665 3407 8
## 3700 3408 8
## 3649 3409 8
## 3563 3410 8
## 3364 3411 8
## 3351 3412 8
## 3664 3413 8
## 3638 3414 8
## 3414 3415 8
## 3577 3416 8
## 3650 3417 8
## 3426 3418 8
## 3365 3419 8
## 3659 3420 8
## 3704 3421 8
## 3666 3422 8
## 3692 3423 8
## 3564 3424 8
## 3708 3425 8
## 3701 3426 8
## 3594 3427 8
## 3560 3428 8
## 3552 3429 8
## 3558 3430 8
## 3591 3431 8
## 3695 3432 8
## 3565 3433 8
## 3346 3434 8
## 3763 3435 8
## 3702 3436 8
## 3354 3437 8
## 3640 3438 8
## 3590 3439 8
## 3356 3440 8
## 3693 3441 8
## 3366 3442 8
## 3651 3443 8
## 3551 3444 8
## 3754 3445 8
## 3416 3446 8
## 3764 3447 8
## 3657 3448 8
## 3345 3449 8
## 3768 3450 8
## 3595 3451 8
## 3696 3452 8
## 3772 3453 8
## 3641 3454 8
## 3660 3455 8
## 3661 3456 8
## 3706 3457 8
## 3561 3458 8
## 3555 3459 8
## 3756 3460 8
## 3765 3461 8
## 3592 3462 8
## 3566 3463 8
## 3707 3464 8
## 3697 3465 8
## 3554 3466 8
## 3705 3467 8
## 3757 3468 8
## 3766 3469 8
## 3759 3470 8
## 3770 3471 8
## 3679 3472 8
## 3593 3473 8
## 3760 3474 8
## 3769 3475 8
## 3669 3476 8
## 3687 3477 8
## 3785 3478 8
## 3556 3479 8
## 3781 3480 8
## 3495 3481 8
## 3771 3482 8
## 3459 3483 8
## 3440 3484 8
## 3683 3485 8
## 3711 3486 8
## 3486 3487 8
## 3672 3488 8
## 3714 3489 8
## 3680 3490 8
## 3684 3491 8
## 3761 3492 8
## 3782 3493 8
## 3710 3494 8
## 3685 3495 8
## 3496 3496 8
## 3500 3497 8
## 3671 3498 8
## 3445 3499 8
## 3675 3500 8
## 3715 3501 8
## 3712 3502 8
## 3678 3503 8
## 3491 3504 8
## 3783 3505 8
## 3434 3506 8
## 3504 3507 8
## 3681 3508 8
## 3455 3509 8
## 3686 3510 8
## 3498 3511 8
## 3674 3512 8
## 3446 3513 8
## 3784 3514 8
## 3786 3515 8
## 3607 3516 8
## 3778 3517 8
## 3775 3518 8
## 3450 3519 8
## 3462 3520 8
## 3713 3521 8
## 3598 3522 8
## 3492 3523 8
## 3676 3524 8
## 3779 3525 8
## 3774 3526 8
## 3612 3527 8
## 3460 3528 8
## 3608 3529 8
## 3776 3530 8
## 3616 3531 8
## 3503 3532 8
## 3625 3533 8
## 3603 3534 8
## 3629 3535 8
## 3465 3536 8
## 3610 3537 8
## 3506 3538 8
## 3777 3539 8
## 3507 3540 8
## 3510 3541 8
## 3327 3542 8
## 3475 3543 8
## 3787 3544 8
## 3307 3545 8
## 3479 3546 8
## 3488 3547 8
## 3501 3548 8
## 3456 3549 8
## 3442 3550 8
## 3382 3551 8
## 3483 3552 8
## 3431 3553 8
## 3604 3554 8
## 3626 3555 8
## 3452 3556 8
## 3497 3557 8
## 3511 3558 8
## 3615 3559 8
## 3443 3560 8
## 3372 3561 8
## 3474 3562 8
## 3461 3563 8
## 3308 3564 8
## 3471 3565 8
## 3718 3566 8
## 3489 3567 8
## 3727 3568 8
## 3628 3569 8
## 3509 3570 8
## 3470 3571 8
## 3436 3572 8
## 3613 3573 8
## 3477 3574 8
## 3630 3575 8
## 3480 3576 8
## 3383 3577 8
## 3622 3578 8
## 3745 3579 8
## 3618 3580 8
## 3482 3581 8
## 3392 3582 8
## 3619 3583 8
## 3728 3584 8
## 3732 3585 8
## 3447 3586 8
## 3723 3587 8
## 3302 3588 8
## 3600 3589 8
## 3402 3590 8
## 3318 3591 8
## 3502 3592 8
## 3749 3593 8
## 3373 3594 8
## 3493 3595 8
## 3623 3596 8
## 3736 3597 8
## 3730 3598 8
## 3437 3599 8
## 3309 3600 8
## 3317 3601 8
## 3609 3602 8
## 3330 3603 8
## 3385 3604 8
## 3631 3605 8
## 3746 3606 8
## 3724 3607 8
## 3457 3608 8
## 3328 3609 8
## 3522 3610 8
## 3748 3611 8
## 3601 3612 8
## 3311 3613 8
## 3789 3614 8
## 3621 3615 8
## 3735 3616 8
## 3453 3617 8
## 3508 3618 8
## 3467 3619 8
## 3793 3620 8
## 3468 3621 8
## 3614 3622 8
## 3374 3623 8
## 3476 3624 8
## 3512 3625 8
## 3303 3626 8
## 3627 3627 8
## 3750 3628 8
## 3532 3629 8
## 3481 3630 8
## 3376 3631 8
## 3321 3632 8
## 3523 3633 8
## 3790 3634 8
## 3605 3635 8
## 3312 3636 8
## 3720 3637 8
## 3542 3638 8
## 3739 3639 8
## 3733 3640 8
## 3395 3641 8
## 3388 3642 8
## 3333 3643 8
## 3738 3644 8
## 3742 3645 8
## 3792 3646 8
## 3751 3647 8
## 3729 3648 8
## 3794 3649 8
## 3513 3650 8
## 3743 3651 8
## 3472 3652 8
## 3319 3653 8
## 3525 3654 8
## 3721 3655 8
## 3620 3656 8
## 3304 3657 8
## 3393 3658 8
## 3741 3659 8
## 3377 3660 8
## 3568 3661 8
## 3747 3662 8
## 3578 3663 8
## 3314 3664 8
## 3796 3665 8
## 3337 3666 8
## 3725 3667 8
## 3734 3668 8
## 3348 3669 8
## 3407 3670 8
## 3357 3671 8
## 3417 3672 8
## 3398 3673 8
## 3795 3674 8
## 3514 3675 8
## 3367 3676 8
## 3408 3677 8
## 3305 3678 8
## 3535 3679 8
## 3347 3680 8
## 3379 3681 8
## 3324 3682 8
## 3791 3683 8
## 3322 3684 8
## 3569 3685 8
## 3516 3686 8
## 3740 3687 8
## 3338 3688 8
## 3528 3689 8
## 3533 3690 8
## 3422 3691 8
## 3350 3692 8
## 3339 3693 8
## 3438 3694 8
## 3410 3695 8
## 3358 3696 8
## 3571 3697 8
## 3360 3698 8
## 3484 3699 8
## 3583 3700 8
## 3428 3701 8
## 3517 3702 8
## 3494 3703 8
## 3448 3704 8
## 3557 3705 8
## 3538 3706 8
## 3547 3707 8
## 3439 3708 8
## 3548 3709 8
## 3642 3710 8
## 3458 3711 8
## 3632 3712 8
## 3562 3713 8
## 3341 3714 8
## 3353 3715 8
## 3519 3716 8
## 3485 3717 8
## 3342 3718 8
## 3574 3719 8
## 3413 3720 8
## 3643 3721 8
## 3432 3722 8
## 3633 3723 8
## 3652 3724 8
## 3550 3725 8
## 3363 3726 8
## 3596 3727 8
## 3589 3728 8
## 3688 3729 8
## 3645 3730 8
## 3662 3731 8
## 3444 3732 8
## 3499 3733 8
## 3698 3734 8
## 3606 3735 8
## 3634 3736 8
## 3344 3737 8
## 3490 3738 8
## 3429 3739 8
## 3433 3740 8
## 3463 3741 8
## 3689 3742 8
## 3636 3743 8
## 3597 3744 8
## 3655 3745 8
## 3648 3746 8
## 3473 3747 8
## 3505 3748 8
## 3464 3749 8
## 3454 3750 8
## 3441 3751 8
## 3449 3752 8
## 3691 3753 8
## 3752 3754 8
## 3611 3755 8
## 3487 3756 8
## 3553 3757 8
## 3762 3758 8
## 3637 3759 8
## 3478 3760 8
## 3430 3761 8
## 3624 3762 8
## 3653 3763 8
## 3703 3764 8
## 3451 3765 8
## 3658 3766 8
## 3639 3767 8
## 3694 3768 8
## 3753 3769 8
## 3667 3770 8
## 3668 3771 8
## 3677 3772 8
## 3602 3773 8
## 3755 3774 8
## 3617 3775 8
## 3767 3776 8
## 3469 3777 8
## 3670 3778 8
## 3709 3779 8
## 3716 3780 8
## 3682 3781 8
## 3435 3782 8
## 3599 3783 8
## 3466 3784 8
## 3726 3785 8
## 3758 3786 8
## 3717 3787 8
## 3780 3788 8
## 3673 3789 8
## 3744 3790 8
## 3773 3791 8
## 3731 3792 8
## 3722 3793 8
## 3737 3794 8
## 3719 3795 8
## 3788 3796 8
## 3828 3797 9
## 3809 3798 9
## 3864 3799 9
## 3855 3800 9
## 3869 3801 9
## 3819 3802 9
## 3865 3803 9
## 3873 3804 9
## 3829 3805 9
## 3811 3806 9
## 3821 3807 9
## 3800 3808 9
## 3830 3809 9
## 3812 3810 9
## 3857 3811 9
## 3814 3812 9
## 3866 3813 9
## 3824 3814 9
## 3928 3815 9
## 3803 3816 9
## 3831 3817 9
## 3815 3818 9
## 3933 3819 9
## 3860 3820 9
## 3937 3821 9
## 3858 3822 9
## 3867 3823 9
## 3919 3824 9
## 3929 3825 9
## 3870 3826 9
## 3871 3827 9
## 3822 3828 9
## 3861 3829 9
## 3872 3830 9
## 3805 3831 9
## 3825 3832 9
## 3816 3833 9
## 3921 3834 9
## 3930 3835 9
## 3946 3836 9
## 3950 3837 9
## 3826 3838 9
## 3806 3839 9
## 3934 3840 9
## 3935 3841 9
## 3922 3842 9
## 3862 3843 9
## 3924 3844 9
## 3931 3845 9
## 3947 3846 9
## 3852 3847 9
## 3844 3848 9
## 3936 3849 9
## 3951 3850 9
## 3925 3851 9
## 3834 3852 9
## 3848 3853 9
## 3876 3854 9
## 3879 3855 9
## 3875 3856 9
## 3849 3857 9
## 3948 3858 9
## 3880 3859 9
## 3837 3860 9
## 3973 3861 9
## 3850 3862 9
## 3843 3863 9
## 3845 3864 9
## 3926 3865 9
## 3964 3866 9
## 3949 3867 9
## 3978 3868 9
## 3974 3869 9
## 3877 3870 9
## 3836 3871 9
## 3982 3872 9
## 3943 3873 9
## 3966 3874 9
## 3940 3875 9
## 3840 3876 9
## 3991 3877 9
## 3944 3878 9
## 3975 3879 9
## 3846 3880 9
## 3851 3881 9
## 3995 3882 9
## 3939 3883 9
## 3878 3884 9
## 3839 3885 9
## 3969 3886 9
## 3967 3887 9
## 3976 3888 9
## 3980 3889 9
## 3992 3890 9
## 3979 3891 9
## 3970 3892 9
## 3941 3893 9
## 3981 3894 9
## 3952 3895 9
## 3996 3896 9
## 3993 3897 9
## 3841 3898 9
## 4008 3899 9
## 4012 3900 9
## 3994 3901 9
## 3971 3902 9
## 4009 3903 9
## 4013 3904 9
## 3942 3905 9
## 4010 3906 9
## 3985 3907 9
## 4011 3908 9
## 3892 3909 9
## 3988 3910 9
## 3910 3911 9
## 3989 3912 9
## 3883 3913 9
## 3897 3914 9
## 3984 3915 9
## 3914 3916 9
## 3997 3917 9
## 4015 3918 9
## 3893 3919 9
## 3986 3920 9
## 3901 3921 9
## 3911 3922 9
## 3888 3923 9
## 3987 3924 9
## 3895 3925 9
## 3915 3926 9
## 3954 3927 9
## 3913 3928 9
## 3889 3929 9
## 4014 3930 9
## 3958 3931 9
## 3900 3932 9
## 3898 3933 9
## 3955 3934 9
## 3959 3935 9
## 3807 3936 9
## 3903 3937 9
## 3904 3938 9
## 3916 3939 9
## 3885 3940 9
## 3907 3941 9
## 3961 3942 9
## 3957 3943 9
## 3908 3944 9
## 3797 3945 9
## 3817 3946 9
## 3894 3947 9
## 3853 3948 9
## 3827 3949 9
## 3808 3950 9
## 3912 3951 9
## 3863 3952 9
## 3886 3953 9
## 3999 3954 9
## 3899 3955 9
## 3906 3956 9
## 3798 3957 9
## 4003 3958 9
## 3960 3959 9
## 3810 3960 9
## 4000 3961 9
## 3854 3962 9
## 3890 3963 9
## 4006 3964 9
## 4004 3965 9
## 4002 3966 9
## 3868 3967 9
## 3956 3968 9
## 3799 3969 9
## 3820 3970 9
## 3856 3971 9
## 3818 3972 9
## 3917 3973 9
## 3905 3974 9
## 3801 3975 9
## 3927 3976 9
## 3813 3977 9
## 4016 3978 9
## 4005 3979 9
## 3918 3980 9
## 3802 3981 9
## 4001 3982 9
## 3932 3983 9
## 3859 3984 9
## 3823 3985 9
## 3920 3986 9
## 3832 3987 9
## 3842 3988 9
## 3833 3989 9
## 3804 3990 9
## 3874 3991 9
## 3945 3992 9
## 3847 3993 9
## 3835 3994 9
## 3881 3995 9
## 3923 3996 9
## 3891 3997 9
## 3938 3998 9
## 3909 3999 9
## 3882 4000 9
## 3962 4001 9
## 3896 4002 9
## 3972 4003 9
## 3838 4004 9
## 3963 4005 9
## 3965 4006 9
## 3887 4007 9
## 3977 4008 9
## 3953 4009 9
## 3990 4010 9
## 3902 4011 9
## 3884 4012 9
## 3968 4013 9
## 4007 4014 9
## 3983 4015 9
## 3998 4016 9
## 4028 4017 10
## 4033 4018 10
## 4037 4019 10
## 4019 4020 10
## 4029 4021 10
## 4046 4022 10
## 4050 4023 10
## 4021 4024 10
## 4047 4025 10
## 4051 4026 10
## 4034 4027 10
## 4030 4028 10
## 4035 4029 10
## 4022 4030 10
## 4024 4031 10
## 4031 4032 10
## 4048 4033 10
## 4063 4034 10
## 4067 4035 10
## 4036 4036 10
## 4025 4037 10
## 4068 4038 10
## 4049 4039 10
## 4064 4040 10
## 4026 4041 10
## 4065 4042 10
## 4070 4043 10
## 4066 4044 10
## 4040 4045 10
## 4044 4046 10
## 4043 4047 10
## 4039 4048 10
## 4052 4049 10
## 4041 4050 10
## 4073 4051 10
## 4077 4052 10
## 4074 4053 10
## 4078 4054 10
## 4069 4055 10
## 4042 4056 10
## 4075 4057 10
## 4080 4058 10
## 4076 4059 10
## 4082 4060 10
## 4054 4061 10
## 4079 4062 10
## 4058 4063 10
## 4061 4064 10
## 4055 4065 10
## 4059 4066 10
## 4057 4067 10
## 4071 4068 10
## 4060 4069 10
## 4017 4070 10
## 4027 4071 10
## 4056 4072 10
## 4018 4073 10
## 4032 4074 10
## 4045 4075 10
## 4081 4076 10
## 4020 4077 10
## 4062 4078 10
## 4023 4079 10
## 4038 4080 10
## 4053 4081 10
## 4072 4082 10
## 4084 4083 11
## 4088 4084 11
## 4089 4085 11
## 4085 4086 11
## 4091 4087 11
## 4086 4088 11
## 4087 4089 11
## 4093 4090 11
## 4090 4091 11
## 4094 4092 11
## 4092 4093 11
## 4083 4094 11
## 4095 4095 12
## Predictors
## 12 rel
## 6 job_men
## 1 imp_rlg
## 3 ps_arm
## 2 dut_ill
## 4 dut_chl
## 10 men_lead
## 9 ps_lead
## 5 el_fair
## 8 trs_ntn
## 7 el_thr
## 11 el_brb
## 42 ps_arm rel
## 23 imp_rlg rel
## 63 job_men rel
## 33 dut_ill rel
## 75 ps_lead rel
## 57 el_fair rel
## 50 dut_chl rel
## 77 men_lead rel
## 78 el_brb rel
## 68 el_thr rel
## 72 trs_ntn rel
## 14 imp_rlg ps_arm
## 24 dut_ill ps_arm
## 17 imp_rlg job_men
## 36 ps_arm job_men
## 13 imp_rlg dut_ill
## 20 imp_rlg ps_lead
## 27 dut_ill job_men
## 34 ps_arm dut_chl
## 21 imp_rlg men_lead
## 35 ps_arm el_fair
## 51 el_fair job_men
## 16 imp_rlg el_fair
## 60 job_men ps_lead
## 15 imp_rlg dut_chl
## 19 imp_rlg trs_ntn
## 40 ps_arm men_lead
## 38 ps_arm trs_ntn
## 30 dut_ill ps_lead
## 59 job_men trs_ntn
## 26 dut_ill el_fair
## 31 dut_ill men_lead
## 44 dut_chl job_men
## 58 job_men el_thr
## 39 ps_arm ps_lead
## 62 job_men el_brb
## 43 dut_chl el_fair
## 47 dut_chl ps_lead
## 29 dut_ill trs_ntn
## 18 imp_rlg el_thr
## 55 el_fair men_lead
## 25 dut_ill dut_chl
## 61 job_men men_lead
## 22 imp_rlg el_brb
## 73 ps_lead men_lead
## 41 ps_arm el_brb
## 37 ps_arm el_thr
## 48 dut_chl men_lead
## 28 dut_ill el_thr
## 46 dut_chl trs_ntn
## 54 el_fair ps_lead
## 70 trs_ntn men_lead
## 32 dut_ill el_brb
## 69 trs_ntn ps_lead
## 45 dut_chl el_thr
## 49 dut_chl el_brb
## 66 el_thr men_lead
## 76 men_lead el_brb
## 53 el_fair trs_ntn
## 65 el_thr ps_lead
## 74 ps_lead el_brb
## 64 el_thr trs_ntn
## 71 trs_ntn el_brb
## 52 el_fair el_thr
## 56 el_fair el_brb
## 67 el_thr el_brb
## 97 imp_rlg ps_arm rel
## 193 ps_arm el_fair rel
## 142 dut_ill ps_arm rel
## 186 ps_arm dut_chl rel
## 199 ps_arm job_men rel
## 208 ps_arm trs_ntn rel
## 213 ps_arm men_lead rel
## 211 ps_arm ps_lead rel
## 214 ps_arm el_brb rel
## 204 ps_arm el_thr rel
## 130 imp_rlg ps_lead rel
## 88 imp_rlg dut_ill rel
## 118 imp_rlg job_men rel
## 248 el_fair job_men rel
## 112 imp_rlg el_fair rel
## 175 dut_ill ps_lead rel
## 275 job_men ps_lead rel
## 157 dut_ill el_fair rel
## 163 dut_ill job_men rel
## 260 el_fair ps_lead rel
## 132 imp_rlg men_lead rel
## 239 dut_chl ps_lead rel
## 221 dut_chl el_fair rel
## 105 imp_rlg dut_chl rel
## 262 el_fair men_lead rel
## 296 ps_lead men_lead rel
## 177 dut_ill men_lead rel
## 127 imp_rlg trs_ntn rel
## 278 job_men el_brb rel
## 268 job_men el_thr rel
## 123 imp_rlg el_thr rel
## 133 imp_rlg el_brb rel
## 168 dut_ill el_thr rel
## 227 dut_chl job_men rel
## 272 job_men trs_ntn rel
## 178 dut_ill el_brb rel
## 150 dut_ill dut_chl rel
## 172 dut_ill trs_ntn rel
## 297 ps_lead el_brb rel
## 285 el_thr ps_lead rel
## 291 trs_ntn ps_lead rel
## 241 dut_chl men_lead rel
## 277 job_men men_lead rel
## 242 dut_chl el_brb rel
## 232 dut_chl el_thr rel
## 298 men_lead el_brb rel
## 236 dut_chl trs_ntn rel
## 293 trs_ntn men_lead rel
## 287 el_thr men_lead rel
## 257 el_fair trs_ntn rel
## 253 el_fair el_thr rel
## 263 el_fair el_brb rel
## 282 el_thr trs_ntn rel
## 294 trs_ntn el_brb rel
## 79 imp_rlg dut_ill ps_arm
## 90 imp_rlg ps_arm el_fair
## 288 el_thr el_brb rel
## 91 imp_rlg ps_arm job_men
## 93 imp_rlg ps_arm trs_ntn
## 89 imp_rlg ps_arm dut_chl
## 95 imp_rlg ps_arm men_lead
## 135 dut_ill ps_arm el_fair
## 94 imp_rlg ps_arm ps_lead
## 187 ps_arm el_fair job_men
## 106 imp_rlg el_fair job_men
## 136 dut_ill ps_arm job_men
## 85 imp_rlg dut_ill ps_lead
## 115 imp_rlg job_men ps_lead
## 82 imp_rlg dut_ill job_men
## 179 ps_arm dut_chl el_fair
## 81 imp_rlg dut_ill el_fair
## 96 imp_rlg ps_arm el_brb
## 92 imp_rlg ps_arm el_thr
## 138 dut_ill ps_arm trs_ntn
## 114 imp_rlg job_men trs_ntn
## 109 imp_rlg el_fair ps_lead
## 140 dut_ill ps_arm men_lead
## 151 dut_ill el_fair job_men
## 195 ps_arm job_men trs_ntn
## 86 imp_rlg dut_ill men_lead
## 110 imp_rlg el_fair men_lead
## 128 imp_rlg ps_lead men_lead
## 84 imp_rlg dut_ill trs_ntn
## 134 dut_ill ps_arm dut_chl
## 191 ps_arm el_fair men_lead
## 102 imp_rlg dut_chl ps_lead
## 124 imp_rlg trs_ntn ps_lead
## 139 dut_ill ps_arm ps_lead
## 180 ps_arm dut_chl job_men
## 182 ps_arm dut_chl trs_ntn
## 98 imp_rlg dut_chl el_fair
## 160 dut_ill job_men ps_lead
## 113 imp_rlg job_men el_thr
## 125 imp_rlg trs_ntn men_lead
## 137 dut_ill ps_arm el_thr
## 99 imp_rlg dut_chl job_men
## 245 el_fair job_men ps_lead
## 117 imp_rlg job_men el_brb
## 141 dut_ill ps_arm el_brb
## 196 ps_arm job_men ps_lead
## 189 ps_arm el_fair trs_ntn
## 83 imp_rlg dut_ill el_thr
## 198 ps_arm job_men el_brb
## 116 imp_rlg job_men men_lead
## 80 imp_rlg dut_ill dut_chl
## 184 ps_arm dut_chl men_lead
## 159 dut_ill job_men trs_ntn
## 194 ps_arm job_men el_thr
## 101 imp_rlg dut_chl trs_ntn
## 155 dut_ill el_fair men_lead
## 108 imp_rlg el_fair trs_ntn
## 206 ps_arm trs_ntn men_lead
## 215 dut_chl el_fair job_men
## 154 dut_ill el_fair ps_lead
## 103 imp_rlg dut_chl men_lead
## 87 imp_rlg dut_ill el_brb
## 158 dut_ill job_men el_thr
## 183 ps_arm dut_chl ps_lead
## 197 ps_arm job_men men_lead
## 244 el_fair job_men trs_ntn
## 120 imp_rlg el_thr ps_lead
## 173 dut_ill ps_lead men_lead
## 190 ps_arm el_fair ps_lead
## 162 dut_ill job_men el_brb
## 185 ps_arm dut_chl el_brb
## 129 imp_rlg ps_lead el_brb
## 181 ps_arm dut_chl el_thr
## 269 job_men trs_ntn ps_lead
## 224 dut_chl job_men ps_lead
## 121 imp_rlg el_thr men_lead
## 218 dut_chl el_fair ps_lead
## 143 dut_ill dut_chl el_fair
## 246 el_fair job_men men_lead
## 219 dut_chl el_fair men_lead
## 131 imp_rlg men_lead el_brb
## 144 dut_ill dut_chl job_men
## 161 dut_ill job_men men_lead
## 169 dut_ill trs_ntn ps_lead
## 147 dut_ill dut_chl ps_lead
## 209 ps_arm ps_lead men_lead
## 100 imp_rlg dut_chl el_thr
## 170 dut_ill trs_ntn men_lead
## 258 el_fair ps_lead men_lead
## 223 dut_chl job_men trs_ntn
## 265 job_men el_thr ps_lead
## 205 ps_arm trs_ntn ps_lead
## 274 job_men ps_lead el_brb
## 119 imp_rlg el_thr trs_ntn
## 104 imp_rlg dut_chl el_brb
## 153 dut_ill el_fair trs_ntn
## 243 el_fair job_men el_thr
## 212 ps_arm men_lead el_brb
## 202 ps_arm el_thr men_lead
## 264 job_men el_thr trs_ntn
## 126 imp_rlg trs_ntn el_brb
## 273 job_men ps_lead men_lead
## 165 dut_ill el_thr ps_lead
## 237 dut_chl ps_lead men_lead
## 247 el_fair job_men el_brb
## 188 ps_arm el_fair el_thr
## 271 job_men trs_ntn el_brb
## 207 ps_arm trs_ntn el_brb
## 166 dut_ill el_thr men_lead
## 222 dut_chl job_men el_thr
## 200 ps_arm el_thr trs_ntn
## 107 imp_rlg el_fair el_thr
## 148 dut_ill dut_chl men_lead
## 192 ps_arm el_fair el_brb
## 226 dut_chl job_men el_brb
## 233 dut_chl trs_ntn ps_lead
## 217 dut_chl el_fair trs_ntn
## 146 dut_ill dut_chl trs_ntn
## 174 dut_ill ps_lead el_brb
## 176 dut_ill men_lead el_brb
## 255 el_fair trs_ntn men_lead
## 270 job_men trs_ntn men_lead
## 111 imp_rlg el_fair el_brb
## 234 dut_chl trs_ntn men_lead
## 289 trs_ntn ps_lead men_lead
## 145 dut_ill dut_chl el_thr
## 152 dut_ill el_fair el_thr
## 164 dut_ill el_thr trs_ntn
## 225 dut_chl job_men men_lead
## 229 dut_chl el_thr ps_lead
## 210 ps_arm ps_lead el_brb
## 276 job_men men_lead el_brb
## 266 job_men el_thr men_lead
## 238 dut_chl ps_lead el_brb
## 201 ps_arm el_thr ps_lead
## 149 dut_ill dut_chl el_brb
## 156 dut_ill el_fair el_brb
## 230 dut_chl el_thr men_lead
## 171 dut_ill trs_ntn el_brb
## 240 dut_chl men_lead el_brb
## 254 el_fair trs_ntn ps_lead
## 267 job_men el_thr el_brb
## 283 el_thr ps_lead men_lead
## 295 ps_lead men_lead el_brb
## 216 dut_chl el_fair el_thr
## 228 dut_chl el_thr trs_ntn
## 251 el_fair el_thr men_lead
## 235 dut_chl trs_ntn el_brb
## 220 dut_chl el_fair el_brb
## 280 el_thr trs_ntn men_lead
## 122 imp_rlg el_thr el_brb
## 261 el_fair men_lead el_brb
## 292 trs_ntn men_lead el_brb
## 203 ps_arm el_thr el_brb
## 167 dut_ill el_thr el_brb
## 279 el_thr trs_ntn ps_lead
## 250 el_fair el_thr ps_lead
## 290 trs_ntn ps_lead el_brb
## 259 el_fair ps_lead el_brb
## 231 dut_chl el_thr el_brb
## 286 el_thr men_lead el_brb
## 249 el_fair el_thr trs_ntn
## 256 el_fair trs_ntn el_brb
## 284 el_thr ps_lead el_brb
## 281 el_thr trs_ntn el_brb
## 252 el_fair el_thr el_brb
## 358 imp_rlg ps_arm el_fair rel
## 307 imp_rlg dut_ill ps_arm rel
## 478 dut_ill ps_arm el_fair rel
## 373 imp_rlg ps_arm trs_ntn rel
## 590 ps_arm dut_chl el_fair rel
## 351 imp_rlg ps_arm dut_chl rel
## 364 imp_rlg ps_arm job_men rel
## 617 ps_arm el_fair job_men rel
## 376 imp_rlg ps_arm ps_lead rel
## 378 imp_rlg ps_arm men_lead rel
## 379 imp_rlg ps_arm el_brb rel
## 631 ps_arm el_fair men_lead rel
## 369 imp_rlg ps_arm el_thr rel
## 626 ps_arm el_fair trs_ntn rel
## 484 dut_ill ps_arm job_men rel
## 493 dut_ill ps_arm trs_ntn rel
## 629 ps_arm el_fair ps_lead rel
## 496 dut_ill ps_arm ps_lead rel
## 499 dut_ill ps_arm el_brb rel
## 471 dut_ill ps_arm dut_chl rel
## 498 dut_ill ps_arm men_lead rel
## 489 dut_ill ps_arm el_thr rel
## 605 ps_arm dut_chl trs_ntn rel
## 632 ps_arm el_fair el_brb rel
## 622 ps_arm el_fair el_thr rel
## 611 ps_arm dut_chl el_brb rel
## 641 ps_arm job_men trs_ntn rel
## 647 ps_arm job_men el_brb rel
## 596 ps_arm dut_chl job_men rel
## 608 ps_arm dut_chl ps_lead rel
## 601 ps_arm dut_chl el_thr rel
## 644 ps_arm job_men ps_lead rel
## 610 ps_arm dut_chl men_lead rel
## 637 ps_arm job_men el_thr rel
## 662 ps_arm trs_ntn men_lead rel
## 667 ps_arm men_lead el_brb rel
## 663 ps_arm trs_ntn el_brb rel
## 660 ps_arm trs_ntn ps_lead rel
## 665 ps_arm ps_lead men_lead rel
## 646 ps_arm job_men men_lead rel
## 666 ps_arm ps_lead el_brb rel
## 651 ps_arm el_thr trs_ntn rel
## 656 ps_arm el_thr men_lead rel
## 654 ps_arm el_thr ps_lead rel
## 340 imp_rlg dut_ill ps_lead rel
## 425 imp_rlg el_fair ps_lead rel
## 657 ps_arm el_thr el_brb rel
## 413 imp_rlg el_fair job_men rel
## 440 imp_rlg job_men ps_lead rel
## 322 imp_rlg dut_ill el_fair rel
## 545 dut_ill el_fair ps_lead rel
## 735 el_fair job_men ps_lead rel
## 461 imp_rlg ps_lead men_lead rel
## 533 dut_ill el_fair job_men rel
## 427 imp_rlg el_fair men_lead rel
## 404 imp_rlg dut_chl ps_lead rel
## 328 imp_rlg dut_ill job_men rel
## 456 imp_rlg trs_ntn ps_lead rel
## 560 dut_ill job_men ps_lead rel
## 386 imp_rlg dut_chl el_fair rel
## 685 dut_chl el_fair ps_lead rel
## 547 dut_ill el_fair men_lead rel
## 342 imp_rlg dut_ill men_lead rel
## 462 imp_rlg ps_lead el_brb rel
## 450 imp_rlg el_thr ps_lead rel
## 756 el_fair ps_lead men_lead rel
## 337 imp_rlg dut_ill trs_ntn rel
## 437 imp_rlg job_men trs_ntn rel
## 581 dut_ill ps_lead men_lead rel
## 673 dut_chl el_fair job_men rel
## 333 imp_rlg dut_ill el_thr rel
## 443 imp_rlg job_men el_brb rel
## 433 imp_rlg job_men el_thr rel
## 422 imp_rlg el_fair trs_ntn rel
## 343 imp_rlg dut_ill el_brb rel
## 506 dut_ill dut_chl el_fair rel
## 570 dut_ill el_thr ps_lead rel
## 524 dut_ill dut_chl ps_lead rel
## 777 job_men ps_lead el_brb rel
## 687 dut_chl el_fair men_lead rel
## 553 dut_ill job_men el_thr rel
## 582 dut_ill ps_lead el_brb rel
## 315 imp_rlg dut_ill dut_chl rel
## 700 dut_chl job_men ps_lead rel
## 732 el_fair job_men trs_ntn rel
## 563 dut_ill job_men el_brb rel
## 765 job_men el_thr ps_lead rel
## 392 imp_rlg dut_chl job_men rel
## 576 dut_ill trs_ntn ps_lead rel
## 458 imp_rlg trs_ntn men_lead rel
## 771 job_men trs_ntn ps_lead rel
## 737 el_fair job_men men_lead rel
## 442 imp_rlg job_men men_lead rel
## 557 dut_ill job_men trs_ntn rel
## 406 imp_rlg dut_chl men_lead rel
## 728 el_fair job_men el_thr rel
## 401 imp_rlg dut_chl trs_ntn rel
## 542 dut_ill el_fair trs_ntn rel
## 463 imp_rlg men_lead el_brb rel
## 721 dut_chl ps_lead men_lead rel
## 452 imp_rlg el_thr men_lead rel
## 738 el_fair job_men el_brb rel
## 418 imp_rlg el_fair el_thr rel
## 300 imp_rlg dut_ill ps_arm el_fair
## 722 dut_chl ps_lead el_brb rel
## 397 imp_rlg dut_chl el_thr rel
## 710 dut_chl el_thr ps_lead rel
## 776 job_men ps_lead men_lead rel
## 407 imp_rlg dut_chl el_brb rel
## 538 dut_ill el_fair el_thr rel
## 716 dut_chl trs_ntn ps_lead rel
## 428 imp_rlg el_fair el_brb rel
## 751 el_fair trs_ntn ps_lead rel
## 572 dut_ill el_thr men_lead rel
## 682 dut_chl el_fair trs_ntn rel
## 512 dut_ill dut_chl job_men rel
## 562 dut_ill job_men men_lead rel
## 583 dut_ill men_lead el_brb rel
## 793 ps_lead men_lead el_brb rel
## 753 el_fair trs_ntn men_lead rel
## 703 dut_chl job_men el_brb rel
## 548 dut_ill el_fair el_brb rel
## 790 trs_ntn ps_lead men_lead rel
## 447 imp_rlg el_thr trs_ntn rel
## 578 dut_ill trs_ntn men_lead rel
## 693 dut_chl job_men el_thr rel
## 786 el_thr ps_lead men_lead rel
## 459 imp_rlg trs_ntn el_brb rel
## 745 el_fair el_thr ps_lead rel
## 774 job_men trs_ntn el_brb rel
## 517 dut_ill dut_chl el_thr rel
## 678 dut_chl el_fair el_thr rel
## 762 job_men el_thr trs_ntn rel
## 526 dut_ill dut_chl men_lead rel
## 757 el_fair ps_lead el_brb rel
## 697 dut_chl job_men trs_ntn rel
## 527 dut_ill dut_chl el_brb rel
## 352 imp_rlg ps_arm el_fair job_men
## 567 dut_ill el_thr trs_ntn rel
## 688 dut_chl el_fair el_brb rel
## 747 el_fair el_thr men_lead rel
## 521 dut_ill dut_chl trs_ntn rel
## 723 dut_chl men_lead el_brb rel
## 758 el_fair men_lead el_brb rel
## 778 job_men men_lead el_brb rel
## 579 dut_ill trs_ntn el_brb rel
## 712 dut_chl el_thr men_lead rel
## 768 job_men el_thr el_brb rel
## 303 imp_rlg dut_ill ps_arm trs_ntn
## 767 job_men el_thr men_lead rel
## 718 dut_chl trs_ntn men_lead rel
## 773 job_men trs_ntn men_lead rel
## 791 trs_ntn ps_lead el_brb rel
## 781 el_thr trs_ntn ps_lead rel
## 344 imp_rlg ps_arm dut_chl el_fair
## 702 dut_chl job_men men_lead rel
## 453 imp_rlg el_thr el_brb rel
## 707 dut_chl el_thr trs_ntn rel
## 573 dut_ill el_thr el_brb rel
## 719 dut_chl trs_ntn el_brb rel
## 354 imp_rlg ps_arm el_fair trs_ntn
## 356 imp_rlg ps_arm el_fair men_lead
## 792 trs_ntn men_lead el_brb rel
## 783 el_thr trs_ntn men_lead rel
## 301 imp_rlg dut_ill ps_arm job_men
## 787 el_thr ps_lead el_brb rel
## 360 imp_rlg ps_arm job_men trs_ntn
## 713 dut_chl el_thr el_brb rel
## 304 imp_rlg dut_ill ps_arm ps_lead
## 305 imp_rlg dut_ill ps_arm men_lead
## 788 el_thr men_lead el_brb rel
## 742 el_fair el_thr trs_ntn rel
## 355 imp_rlg ps_arm el_fair ps_lead
## 347 imp_rlg ps_arm dut_chl trs_ntn
## 754 el_fair trs_ntn el_brb rel
## 371 imp_rlg ps_arm trs_ntn men_lead
## 472 dut_ill ps_arm el_fair job_men
## 299 imp_rlg dut_ill ps_arm dut_chl
## 302 imp_rlg dut_ill ps_arm el_thr
## 306 imp_rlg dut_ill ps_arm el_brb
## 748 el_fair el_thr el_brb rel
## 361 imp_rlg ps_arm job_men ps_lead
## 370 imp_rlg ps_arm trs_ntn ps_lead
## 784 el_thr trs_ntn el_brb rel
## 316 imp_rlg dut_ill el_fair job_men
## 410 imp_rlg el_fair job_men ps_lead
## 319 imp_rlg dut_ill el_fair ps_lead
## 345 imp_rlg ps_arm dut_chl job_men
## 476 dut_ill ps_arm el_fair men_lead
## 348 imp_rlg ps_arm dut_chl ps_lead
## 363 imp_rlg ps_arm job_men el_brb
## 325 imp_rlg dut_ill job_men ps_lead
## 359 imp_rlg ps_arm job_men el_thr
## 464 dut_ill ps_arm dut_chl el_fair
## 349 imp_rlg ps_arm dut_chl men_lead
## 374 imp_rlg ps_arm ps_lead men_lead
## 474 dut_ill ps_arm el_fair trs_ntn
## 353 imp_rlg ps_arm el_fair el_thr
## 365 imp_rlg ps_arm el_thr trs_ntn
## 372 imp_rlg ps_arm trs_ntn el_brb
## 362 imp_rlg ps_arm job_men men_lead
## 584 ps_arm dut_chl el_fair job_men
## 320 imp_rlg dut_ill el_fair men_lead
## 357 imp_rlg ps_arm el_fair el_brb
## 613 ps_arm el_fair job_men trs_ntn
## 480 dut_ill ps_arm job_men trs_ntn
## 409 imp_rlg el_fair job_men trs_ntn
## 423 imp_rlg el_fair ps_lead men_lead
## 334 imp_rlg dut_ill trs_ntn ps_lead
## 434 imp_rlg job_men trs_ntn ps_lead
## 338 imp_rlg dut_ill ps_lead men_lead
## 350 imp_rlg ps_arm dut_chl el_brb
## 346 imp_rlg ps_arm dut_chl el_thr
## 324 imp_rlg dut_ill job_men trs_ntn
## 475 dut_ill ps_arm el_fair ps_lead
## 586 ps_arm dut_chl el_fair trs_ntn
## 383 imp_rlg dut_chl el_fair ps_lead
## 588 ps_arm dut_chl el_fair men_lead
## 377 imp_rlg ps_arm men_lead el_brb
## 367 imp_rlg ps_arm el_thr men_lead
## 318 imp_rlg dut_ill el_fair trs_ntn
## 380 imp_rlg dut_chl el_fair job_men
## 614 ps_arm el_fair job_men ps_lead
## 530 dut_ill el_fair job_men ps_lead
## 481 dut_ill ps_arm job_men ps_lead
## 491 dut_ill ps_arm trs_ntn men_lead
## 335 imp_rlg dut_ill trs_ntn men_lead
## 375 imp_rlg ps_arm ps_lead el_brb
## 411 imp_rlg el_fair job_men men_lead
## 479 dut_ill ps_arm job_men el_thr
## 366 imp_rlg ps_arm el_thr ps_lead
## 454 imp_rlg trs_ntn ps_lead men_lead
## 323 imp_rlg dut_ill job_men el_thr
## 483 dut_ill ps_arm job_men el_brb
## 467 dut_ill ps_arm dut_chl trs_ntn
## 312 imp_rlg dut_ill dut_chl ps_lead
## 420 imp_rlg el_fair trs_ntn men_lead
## 419 imp_rlg el_fair trs_ntn ps_lead
## 615 ps_arm el_fair job_men men_lead
## 308 imp_rlg dut_ill dut_chl el_fair
## 330 imp_rlg dut_ill el_thr ps_lead
## 389 imp_rlg dut_chl job_men ps_lead
## 384 imp_rlg dut_chl el_fair men_lead
## 587 ps_arm dut_chl el_fair ps_lead
## 430 imp_rlg job_men el_thr ps_lead
## 398 imp_rlg dut_chl trs_ntn ps_lead
## 624 ps_arm el_fair trs_ntn men_lead
## 439 imp_rlg job_men ps_lead el_brb
## 465 dut_ill ps_arm dut_chl job_men
## 327 imp_rlg dut_ill job_men el_brb
## 473 dut_ill ps_arm el_fair el_thr
## 592 ps_arm dut_chl job_men trs_ntn
## 339 imp_rlg dut_ill ps_lead el_brb
## 438 imp_rlg job_men ps_lead men_lead
## 490 dut_ill ps_arm trs_ntn ps_lead
## 477 dut_ill ps_arm el_fair el_brb
## 382 imp_rlg dut_chl el_fair trs_ntn
## 408 imp_rlg el_fair job_men el_thr
## 402 imp_rlg dut_chl ps_lead men_lead
## 482 dut_ill ps_arm job_men men_lead
## 326 imp_rlg dut_ill job_men men_lead
## 529 dut_ill el_fair job_men trs_ntn
## 612 ps_arm el_fair job_men el_thr
## 429 imp_rlg job_men el_thr trs_ntn
## 388 imp_rlg dut_chl job_men trs_ntn
## 616 ps_arm el_fair job_men el_brb
## 485 dut_ill ps_arm el_thr trs_ntn
## 494 dut_ill ps_arm ps_lead men_lead
## 436 imp_rlg job_men trs_ntn el_brb
## 412 imp_rlg el_fair job_men el_brb
## 469 dut_ill ps_arm dut_chl men_lead
## 543 dut_ill el_fair ps_lead men_lead
## 309 imp_rlg dut_ill dut_chl job_men
## 603 ps_arm dut_chl trs_ntn men_lead
## 468 dut_ill ps_arm dut_chl ps_lead
## 492 dut_ill ps_arm trs_ntn el_brb
## 331 imp_rlg dut_ill el_thr men_lead
## 435 imp_rlg job_men trs_ntn men_lead
## 329 imp_rlg dut_ill el_thr trs_ntn
## 311 imp_rlg dut_ill dut_chl trs_ntn
## 638 ps_arm job_men trs_ntn ps_lead
## 640 ps_arm job_men trs_ntn el_brb
## 317 imp_rlg dut_ill el_fair el_thr
## 627 ps_arm el_fair ps_lead men_lead
## 670 dut_chl el_fair job_men ps_lead
## 487 dut_ill ps_arm el_thr men_lead
## 497 dut_ill ps_arm men_lead el_brb
## 554 dut_ill job_men trs_ntn ps_lead
## 633 ps_arm job_men el_thr trs_ntn
## 466 dut_ill ps_arm dut_chl el_thr
## 399 imp_rlg dut_chl trs_ntn men_lead
## 585 ps_arm dut_chl el_fair el_thr
## 500 dut_ill dut_chl el_fair job_men
## 341 imp_rlg dut_ill men_lead el_brb
## 531 dut_ill el_fair job_men men_lead
## 470 dut_ill ps_arm dut_chl el_brb
## 589 ps_arm dut_chl el_fair el_brb
## 448 imp_rlg el_thr ps_lead men_lead
## 595 ps_arm dut_chl job_men el_brb
## 368 imp_rlg ps_arm el_thr el_brb
## 313 imp_rlg dut_ill dut_chl men_lead
## 593 ps_arm dut_chl job_men ps_lead
## 460 imp_rlg ps_lead men_lead el_brb
## 602 ps_arm dut_chl trs_ntn ps_lead
## 394 imp_rlg dut_chl el_thr ps_lead
## 639 ps_arm job_men trs_ntn men_lead
## 336 imp_rlg dut_ill trs_ntn el_brb
## 321 imp_rlg dut_ill el_fair el_brb
## 729 el_fair job_men trs_ntn ps_lead
## 528 dut_ill el_fair job_men el_thr
## 591 ps_arm dut_chl job_men el_thr
## 550 dut_ill job_men el_thr ps_lead
## 503 dut_ill dut_chl el_fair ps_lead
## 604 ps_arm dut_chl trs_ntn el_brb
## 597 ps_arm dut_chl el_thr trs_ntn
## 403 imp_rlg dut_chl ps_lead el_brb
## 387 imp_rlg dut_chl job_men el_thr
## 444 imp_rlg el_thr trs_ntn ps_lead
## 486 dut_ill ps_arm el_thr ps_lead
## 559 dut_ill job_men ps_lead el_brb
## 391 imp_rlg dut_chl job_men el_brb
## 415 imp_rlg el_fair el_thr ps_lead
## 495 dut_ill ps_arm ps_lead el_brb
## 540 dut_ill el_fair trs_ntn men_lead
## 683 dut_chl el_fair ps_lead men_lead
## 669 dut_chl el_fair job_men trs_ntn
## 416 imp_rlg el_fair el_thr men_lead
## 445 imp_rlg el_thr trs_ntn men_lead
## 455 imp_rlg trs_ntn ps_lead el_brb
## 532 dut_ill el_fair job_men el_brb
## 504 dut_ill dut_chl el_fair men_lead
## 310 imp_rlg dut_ill dut_chl el_thr
## 623 ps_arm el_fair trs_ntn ps_lead
## 549 dut_ill job_men el_thr trs_ntn
## 509 dut_ill dut_chl job_men ps_lead
## 457 imp_rlg trs_ntn men_lead el_brb
## 733 el_fair job_men ps_lead men_lead
## 424 imp_rlg el_fair ps_lead el_brb
## 606 ps_arm dut_chl ps_lead men_lead
## 643 ps_arm job_men ps_lead el_brb
## 426 imp_rlg el_fair men_lead el_brb
## 539 dut_ill el_fair trs_ntn ps_lead
## 431 imp_rlg job_men el_thr men_lead
## 393 imp_rlg dut_chl el_thr trs_ntn
## 594 ps_arm dut_chl job_men men_lead
## 558 dut_ill job_men ps_lead men_lead
## 441 imp_rlg job_men men_lead el_brb
## 620 ps_arm el_fair el_thr men_lead
## 609 ps_arm dut_chl men_lead el_brb
## 574 dut_ill trs_ntn ps_lead men_lead
## 634 ps_arm job_men el_thr ps_lead
## 381 imp_rlg dut_chl el_fair el_thr
## 630 ps_arm el_fair men_lead el_brb
## 390 imp_rlg dut_chl job_men men_lead
## 556 dut_ill job_men trs_ntn el_brb
## 658 ps_arm trs_ntn ps_lead men_lead
## 314 imp_rlg dut_ill dut_chl el_brb
## 599 ps_arm dut_chl el_thr men_lead
## 395 imp_rlg dut_chl el_thr men_lead
## 400 imp_rlg dut_chl trs_ntn el_brb
## 694 dut_chl job_men trs_ntn ps_lead
## 432 imp_rlg job_men el_thr el_brb
## 405 imp_rlg dut_chl men_lead el_brb
## 642 ps_arm job_men ps_lead men_lead
## 661 ps_arm trs_ntn men_lead el_brb
## 680 dut_chl el_fair trs_ntn men_lead
## 645 ps_arm job_men men_lead el_brb
## 671 dut_chl el_fair job_men men_lead
## 385 imp_rlg dut_chl el_fair el_brb
## 725 el_fair job_men el_thr ps_lead
## 508 dut_ill dut_chl job_men trs_ntn
## 679 dut_chl el_fair trs_ntn ps_lead
## 649 ps_arm el_thr trs_ntn men_lead
## 555 dut_ill job_men trs_ntn men_lead
## 502 dut_ill dut_chl el_fair trs_ntn
## 730 el_fair job_men trs_ntn men_lead
## 488 dut_ill ps_arm el_thr el_brb
## 607 ps_arm dut_chl ps_lead el_brb
## 522 dut_ill dut_chl ps_lead men_lead
## 598 ps_arm dut_chl el_thr ps_lead
## 518 dut_ill dut_chl trs_ntn ps_lead
## 635 ps_arm job_men el_thr men_lead
## 734 el_fair job_men ps_lead el_brb
## 568 dut_ill el_thr ps_lead men_lead
## 507 dut_ill dut_chl job_men el_thr
## 668 dut_chl el_fair job_men el_thr
## 636 ps_arm job_men el_thr el_brb
## 536 dut_ill el_fair el_thr men_lead
## 759 job_men el_thr trs_ntn ps_lead
## 690 dut_chl job_men el_thr ps_lead
## 618 ps_arm el_fair el_thr trs_ntn
## 749 el_fair trs_ntn ps_lead men_lead
## 332 imp_rlg dut_ill el_thr el_brb
## 414 imp_rlg el_fair el_thr trs_ntn
## 699 dut_chl job_men ps_lead el_brb
## 580 dut_ill ps_lead men_lead el_brb
## 770 job_men trs_ntn ps_lead el_brb
## 551 dut_ill job_men el_thr men_lead
## 535 dut_ill el_fair el_thr ps_lead
## 625 ps_arm el_fair trs_ntn el_brb
## 511 dut_ill dut_chl job_men el_brb
## 714 dut_chl trs_ntn ps_lead men_lead
## 672 dut_chl el_fair job_men el_brb
## 724 el_fair job_men el_thr trs_ntn
## 689 dut_chl job_men el_thr trs_ntn
## 514 dut_ill dut_chl el_thr ps_lead
## 561 dut_ill job_men men_lead el_brb
## 546 dut_ill el_fair men_lead el_brb
## 769 job_men trs_ntn ps_lead men_lead
## 552 dut_ill job_men el_thr el_brb
## 519 dut_ill dut_chl trs_ntn men_lead
## 565 dut_ill el_thr trs_ntn men_lead
## 421 imp_rlg el_fair trs_ntn el_brb
## 564 dut_ill el_thr trs_ntn ps_lead
## 696 dut_chl job_men trs_ntn el_brb
## 544 dut_ill el_fair ps_lead el_brb
## 731 el_fair job_men trs_ntn el_brb
## 523 dut_ill dut_chl ps_lead el_brb
## 698 dut_chl job_men ps_lead men_lead
## 664 ps_arm ps_lead men_lead el_brb
## 600 ps_arm dut_chl el_thr el_brb
## 577 dut_ill trs_ntn men_lead el_brb
## 501 dut_ill dut_chl el_fair el_thr
## 449 imp_rlg el_thr ps_lead el_brb
## 619 ps_arm el_fair el_thr ps_lead
## 575 dut_ill trs_ntn ps_lead el_brb
## 652 ps_arm el_thr ps_lead men_lead
## 510 dut_ill dut_chl job_men men_lead
## 515 dut_ill dut_chl el_thr men_lead
## 675 dut_chl el_fair el_thr ps_lead
## 676 dut_chl el_fair el_thr men_lead
## 726 el_fair job_men el_thr men_lead
## 628 ps_arm el_fair ps_lead el_brb
## 513 dut_ill dut_chl el_thr trs_ntn
## 695 dut_chl job_men trs_ntn men_lead
## 708 dut_chl el_thr ps_lead men_lead
## 659 ps_arm trs_ntn ps_lead el_brb
## 451 imp_rlg el_thr men_lead el_brb
## 648 ps_arm el_thr trs_ntn ps_lead
## 775 job_men ps_lead men_lead el_brb
## 720 dut_chl ps_lead men_lead el_brb
## 763 job_men el_thr ps_lead men_lead
## 525 dut_ill dut_chl men_lead el_brb
## 736 el_fair job_men men_lead el_brb
## 704 dut_chl el_thr trs_ntn ps_lead
## 686 dut_chl el_fair men_lead el_brb
## 505 dut_ill dut_chl el_fair el_brb
## 684 dut_chl el_fair ps_lead el_brb
## 534 dut_ill el_fair el_thr trs_ntn
## 396 imp_rlg dut_chl el_thr el_brb
## 760 job_men el_thr trs_ntn men_lead
## 705 dut_chl el_thr trs_ntn men_lead
## 772 job_men trs_ntn men_lead el_brb
## 764 job_men el_thr ps_lead el_brb
## 715 dut_chl trs_ntn ps_lead el_brb
## 743 el_fair el_thr ps_lead men_lead
## 520 dut_ill dut_chl trs_ntn el_brb
## 717 dut_chl trs_ntn men_lead el_brb
## 755 el_fair ps_lead men_lead el_brb
## 691 dut_chl job_men el_thr men_lead
## 701 dut_chl job_men men_lead el_brb
## 446 imp_rlg el_thr trs_ntn el_brb
## 655 ps_arm el_thr men_lead el_brb
## 761 job_men el_thr trs_ntn el_brb
## 692 dut_chl job_men el_thr el_brb
## 779 el_thr trs_ntn ps_lead men_lead
## 541 dut_ill el_fair trs_ntn el_brb
## 674 dut_chl el_fair el_thr trs_ntn
## 789 trs_ntn ps_lead men_lead el_brb
## 727 el_fair job_men el_thr el_brb
## 571 dut_ill el_thr men_lead el_brb
## 569 dut_ill el_thr ps_lead el_brb
## 650 ps_arm el_thr trs_ntn el_brb
## 740 el_fair el_thr trs_ntn men_lead
## 681 dut_chl el_fair trs_ntn el_brb
## 621 ps_arm el_fair el_thr el_brb
## 752 el_fair trs_ntn men_lead el_brb
## 417 imp_rlg el_fair el_thr el_brb
## 516 dut_ill dut_chl el_thr el_brb
## 766 job_men el_thr men_lead el_brb
## 709 dut_chl el_thr ps_lead el_brb
## 566 dut_ill el_thr trs_ntn el_brb
## 711 dut_chl el_thr men_lead el_brb
## 653 ps_arm el_thr ps_lead el_brb
## 537 dut_ill el_fair el_thr el_brb
## 739 el_fair el_thr trs_ntn ps_lead
## 785 el_thr ps_lead men_lead el_brb
## 706 dut_chl el_thr trs_ntn el_brb
## 750 el_fair trs_ntn ps_lead el_brb
## 677 dut_chl el_fair el_thr el_brb
## 782 el_thr trs_ntn men_lead el_brb
## 746 el_fair el_thr men_lead el_brb
## 780 el_thr trs_ntn ps_lead el_brb
## 744 el_fair el_thr ps_lead el_brb
## 741 el_fair el_thr trs_ntn el_brb
## 808 imp_rlg dut_ill ps_arm el_fair rel
## 920 imp_rlg ps_arm dut_chl el_fair rel
## 947 imp_rlg ps_arm el_fair job_men rel
## 956 imp_rlg ps_arm el_fair trs_ntn rel
## 961 imp_rlg ps_arm el_fair men_lead rel
## 959 imp_rlg ps_arm el_fair ps_lead rel
## 823 imp_rlg dut_ill ps_arm trs_ntn rel
## 1157 dut_ill ps_arm el_fair job_men rel
## 826 imp_rlg dut_ill ps_arm ps_lead rel
## 1130 dut_ill ps_arm dut_chl el_fair rel
## 952 imp_rlg ps_arm el_fair el_thr rel
## 1171 dut_ill ps_arm el_fair men_lead rel
## 814 imp_rlg dut_ill ps_arm job_men rel
## 962 imp_rlg ps_arm el_fair el_brb rel
## 829 imp_rlg dut_ill ps_arm el_brb rel
## 1166 dut_ill ps_arm el_fair trs_ntn rel
## 819 imp_rlg dut_ill ps_arm el_thr rel
## 828 imp_rlg dut_ill ps_arm men_lead rel
## 1169 dut_ill ps_arm el_fair ps_lead rel
## 801 imp_rlg dut_ill ps_arm dut_chl rel
## 935 imp_rlg ps_arm dut_chl trs_ntn rel
## 971 imp_rlg ps_arm job_men trs_ntn rel
## 990 imp_rlg ps_arm trs_ntn ps_lead rel
## 1339 ps_arm dut_chl el_fair job_men rel
## 1348 ps_arm dut_chl el_fair trs_ntn rel
## 992 imp_rlg ps_arm trs_ntn men_lead rel
## 1353 ps_arm dut_chl el_fair men_lead rel
## 938 imp_rlg ps_arm dut_chl ps_lead rel
## 1351 ps_arm dut_chl el_fair ps_lead rel
## 974 imp_rlg ps_arm job_men ps_lead rel
## 993 imp_rlg ps_arm trs_ntn el_brb rel
## 1162 dut_ill ps_arm el_fair el_thr rel
## 941 imp_rlg ps_arm dut_chl el_brb rel
## 977 imp_rlg ps_arm job_men el_brb rel
## 1398 ps_arm el_fair job_men trs_ntn rel
## 1172 dut_ill ps_arm el_fair el_brb rel
## 981 imp_rlg ps_arm el_thr trs_ntn rel
## 995 imp_rlg ps_arm ps_lead men_lead rel
## 1401 ps_arm el_fair job_men ps_lead rel
## 926 imp_rlg ps_arm dut_chl job_men rel
## 931 imp_rlg ps_arm dut_chl el_thr rel
## 967 imp_rlg ps_arm job_men el_thr rel
## 940 imp_rlg ps_arm dut_chl men_lead rel
## 996 imp_rlg ps_arm ps_lead el_brb rel
## 997 imp_rlg ps_arm men_lead el_brb rel
## 1419 ps_arm el_fair trs_ntn men_lead rel
## 984 imp_rlg ps_arm el_thr ps_lead rel
## 1344 ps_arm dut_chl el_fair el_thr rel
## 1403 ps_arm el_fair job_men men_lead rel
## 1354 ps_arm dut_chl el_fair el_brb rel
## 1422 ps_arm el_fair ps_lead men_lead rel
## 986 imp_rlg ps_arm el_thr men_lead rel
## 976 imp_rlg ps_arm job_men men_lead rel
## 1404 ps_arm el_fair job_men el_brb rel
## 1394 ps_arm el_fair job_men el_thr rel
## 1181 dut_ill ps_arm job_men trs_ntn rel
## 1187 dut_ill ps_arm job_men el_brb rel
## 1145 dut_ill ps_arm dut_chl trs_ntn rel
## 1417 ps_arm el_fair trs_ntn ps_lead rel
## 1177 dut_ill ps_arm job_men el_thr rel
## 1184 dut_ill ps_arm job_men ps_lead rel
## 1203 dut_ill ps_arm trs_ntn el_brb rel
## 1202 dut_ill ps_arm trs_ntn men_lead rel
## 1200 dut_ill ps_arm trs_ntn ps_lead rel
## 1151 dut_ill ps_arm dut_chl el_brb rel
## 1191 dut_ill ps_arm el_thr trs_ntn rel
## 987 imp_rlg ps_arm el_thr el_brb rel
## 1148 dut_ill ps_arm dut_chl ps_lead rel
## 1207 dut_ill ps_arm men_lead el_brb rel
## 1206 dut_ill ps_arm ps_lead el_brb rel
## 1141 dut_ill ps_arm dut_chl el_thr rel
## 1424 ps_arm el_fair men_lead el_brb rel
## 1413 ps_arm el_fair el_thr men_lead rel
## 1205 dut_ill ps_arm ps_lead men_lead rel
## 1136 dut_ill ps_arm dut_chl job_men rel
## 1194 dut_ill ps_arm el_thr ps_lead rel
## 1196 dut_ill ps_arm el_thr men_lead rel
## 1385 ps_arm dut_chl trs_ntn el_brb rel
## 1150 dut_ill ps_arm dut_chl men_lead rel
## 1363 ps_arm dut_chl job_men trs_ntn rel
## 1186 dut_ill ps_arm job_men men_lead rel
## 1369 ps_arm dut_chl job_men el_brb rel
## 1408 ps_arm el_fair el_thr trs_ntn rel
## 1440 ps_arm job_men trs_ntn el_brb rel
## 1420 ps_arm el_fair trs_ntn el_brb rel
## 1382 ps_arm dut_chl trs_ntn ps_lead rel
## 875 imp_rlg dut_ill el_fair ps_lead rel
## 1373 ps_arm dut_chl el_thr trs_ntn rel
## 1384 ps_arm dut_chl trs_ntn men_lead rel
## 1423 ps_arm el_fair ps_lead el_brb rel
## 1411 ps_arm el_fair el_thr ps_lead rel
## 1388 ps_arm dut_chl ps_lead el_brb rel
## 1197 dut_ill ps_arm el_thr el_brb rel
## 1389 ps_arm dut_chl men_lead el_brb rel
## 1437 ps_arm job_men trs_ntn ps_lead rel
## 1428 ps_arm job_men el_thr trs_ntn rel
## 1065 imp_rlg el_fair job_men ps_lead rel
## 1366 ps_arm dut_chl job_men ps_lead rel
## 1359 ps_arm dut_chl job_men el_thr rel
## 1443 ps_arm job_men ps_lead el_brb rel
## 1376 ps_arm dut_chl el_thr ps_lead rel
## 1387 ps_arm dut_chl ps_lead men_lead rel
## 1378 ps_arm dut_chl el_thr men_lead rel
## 1458 ps_arm trs_ntn men_lead el_brb rel
## 1431 ps_arm job_men el_thr ps_lead rel
## 1086 imp_rlg el_fair ps_lead men_lead rel
## 1439 ps_arm job_men trs_ntn men_lead rel
## 1456 ps_arm trs_ntn ps_lead men_lead rel
## 1379 ps_arm dut_chl el_thr el_brb rel
## 1444 ps_arm job_men men_lead el_brb rel
## 1015 imp_rlg dut_chl el_fair ps_lead rel
## 863 imp_rlg dut_ill el_fair job_men rel
## 1434 ps_arm job_men el_thr el_brb rel
## 1449 ps_arm el_thr trs_ntn men_lead rel
## 1368 ps_arm dut_chl job_men men_lead rel
## 1459 ps_arm ps_lead men_lead el_brb rel
## 1414 ps_arm el_fair el_thr el_brb rel
## 1457 ps_arm trs_ntn ps_lead el_brb rel
## 890 imp_rlg dut_ill job_men ps_lead rel
## 1442 ps_arm job_men ps_lead men_lead rel
## 1433 ps_arm job_men el_thr men_lead rel
## 1275 dut_ill el_fair job_men ps_lead rel
## 877 imp_rlg dut_ill el_fair men_lead rel
## 1447 ps_arm el_thr trs_ntn ps_lead rel
## 1452 ps_arm el_thr ps_lead men_lead rel
## 911 imp_rlg dut_ill ps_lead men_lead rel
## 906 imp_rlg dut_ill trs_ntn ps_lead rel
## 1081 imp_rlg el_fair trs_ntn ps_lead rel
## 1454 ps_arm el_thr men_lead el_brb rel
## 900 imp_rlg dut_ill el_thr ps_lead rel
## 1450 ps_arm el_thr trs_ntn el_brb rel
## 1296 dut_ill el_fair ps_lead men_lead rel
## 1101 imp_rlg job_men trs_ntn ps_lead rel
## 912 imp_rlg dut_ill ps_lead el_brb rel
## 1062 imp_rlg el_fair job_men trs_ntn rel
## 854 imp_rlg dut_ill dut_chl ps_lead rel
## 1453 ps_arm el_thr ps_lead el_brb rel
## 872 imp_rlg dut_ill el_fair trs_ntn rel
## 1107 imp_rlg job_men ps_lead el_brb rel
## 1003 imp_rlg dut_chl el_fair job_men rel
## 1095 imp_rlg job_men el_thr ps_lead rel
## 836 imp_rlg dut_ill dut_chl el_fair rel
## 1225 dut_ill dut_chl el_fair ps_lead rel
## 1471 dut_chl el_fair job_men ps_lead rel
## 1017 imp_rlg dut_chl el_fair men_lead rel
## 1030 imp_rlg dut_chl job_men ps_lead rel
## 1067 imp_rlg el_fair job_men men_lead rel
## 1120 imp_rlg trs_ntn ps_lead men_lead rel
## 1046 imp_rlg dut_chl trs_ntn ps_lead rel
## 1075 imp_rlg el_fair el_thr ps_lead rel
## 1083 imp_rlg el_fair trs_ntn men_lead rel
## 1051 imp_rlg dut_chl ps_lead men_lead rel
## 1492 dut_chl el_fair ps_lead men_lead rel
## 1087 imp_rlg el_fair ps_lead el_brb rel
## 883 imp_rlg dut_ill job_men el_thr rel
## 1106 imp_rlg job_men ps_lead men_lead rel
## 887 imp_rlg dut_ill job_men trs_ntn rel
## 1058 imp_rlg el_fair job_men el_thr rel
## 868 imp_rlg dut_ill el_fair el_thr rel
## 1123 imp_rlg ps_lead men_lead el_brb rel
## 1040 imp_rlg dut_chl el_thr ps_lead rel
## 893 imp_rlg dut_ill job_men el_brb rel
## 1052 imp_rlg dut_chl ps_lead el_brb rel
## 1116 imp_rlg el_thr ps_lead men_lead rel
## 1542 el_fair job_men trs_ntn ps_lead rel
## 1012 imp_rlg dut_chl el_fair trs_ntn rel
## 1068 imp_rlg el_fair job_men el_brb rel
## 1272 dut_ill el_fair job_men trs_ntn rel
## 1291 dut_ill el_fair trs_ntn ps_lead rel
## 1305 dut_ill job_men el_thr ps_lead rel
## 1317 dut_ill job_men ps_lead el_brb rel
## 1547 el_fair job_men ps_lead men_lead rel
## 1213 dut_ill dut_chl el_fair job_men rel
## 878 imp_rlg dut_ill el_fair el_brb rel
## 908 imp_rlg dut_ill trs_ntn men_lead rel
## 1277 dut_ill el_fair job_men men_lead rel
## 1268 dut_ill el_fair job_men el_thr rel
## 804 imp_rlg dut_ill ps_arm el_fair trs_ntn
## 802 imp_rlg dut_ill ps_arm el_fair job_men
## 1311 dut_ill job_men trs_ntn ps_lead rel
## 1285 dut_ill el_fair el_thr ps_lead rel
## 1111 imp_rlg el_thr trs_ntn ps_lead rel
## 1536 el_fair job_men el_thr ps_lead rel
## 902 imp_rlg dut_ill el_thr men_lead rel
## 1121 imp_rlg trs_ntn ps_lead el_brb rel
## 1548 el_fair job_men ps_lead el_brb rel
## 1487 dut_chl el_fair trs_ntn ps_lead rel
## 913 imp_rlg dut_ill men_lead el_brb rel
## 1227 dut_ill dut_chl el_fair men_lead rel
## 1278 dut_ill el_fair job_men el_brb rel
## 1077 imp_rlg el_fair el_thr men_lead rel
## 897 imp_rlg dut_ill el_thr trs_ntn rel
## 1297 dut_ill el_fair ps_lead el_brb rel
## 1092 imp_rlg job_men el_thr trs_ntn rel
## 1104 imp_rlg job_men trs_ntn el_brb rel
## 892 imp_rlg dut_ill job_men men_lead rel
## 1293 dut_ill el_fair trs_ntn men_lead rel
## 1088 imp_rlg el_fair men_lead el_brb rel
## 1008 imp_rlg dut_chl el_fair el_thr rel
## 1240 dut_ill dut_chl job_men ps_lead rel
## 806 imp_rlg dut_ill ps_arm el_fair men_lead
## 1326 dut_ill el_thr ps_lead men_lead rel
## 842 imp_rlg dut_ill dut_chl job_men rel
## 1561 el_fair trs_ntn ps_lead men_lead rel
## 1333 dut_ill ps_lead men_lead el_brb rel
## 909 imp_rlg dut_ill trs_ntn el_brb rel
## 1316 dut_ill job_men ps_lead men_lead rel
## 1481 dut_chl el_fair el_thr ps_lead rel
## 1330 dut_ill trs_ntn ps_lead men_lead rel
## 1468 dut_chl el_fair job_men trs_ntn rel
## 851 imp_rlg dut_ill dut_chl trs_ntn rel
## 1027 imp_rlg dut_chl job_men trs_ntn rel
## 1018 imp_rlg dut_chl el_fair el_brb rel
## 847 imp_rlg dut_ill dut_chl el_thr rel
## 1250 dut_ill dut_chl el_thr ps_lead rel
## 1513 dut_chl job_men ps_lead el_brb rel
## 1033 imp_rlg dut_chl job_men el_brb rel
## 1287 dut_ill el_fair el_thr men_lead rel
## 856 imp_rlg dut_ill dut_chl men_lead rel
## 1023 imp_rlg dut_chl job_men el_thr rel
## 1261 dut_ill dut_chl ps_lead men_lead rel
## 1493 dut_chl el_fair ps_lead el_brb rel
## 943 imp_rlg ps_arm el_fair job_men trs_ntn
## 1262 dut_ill dut_chl ps_lead el_brb rel
## 805 imp_rlg dut_ill ps_arm el_fair ps_lead
## 1501 dut_chl job_men el_thr ps_lead rel
## 1048 imp_rlg dut_chl trs_ntn men_lead rel
## 857 imp_rlg dut_ill dut_chl el_brb rel
## 1103 imp_rlg job_men trs_ntn men_lead rel
## 1473 dut_chl el_fair job_men men_lead rel
## 1256 dut_ill dut_chl trs_ntn ps_lead rel
## 1464 dut_chl el_fair job_men el_thr rel
## 1222 dut_ill dut_chl el_fair trs_ntn rel
## 1302 dut_ill job_men el_thr trs_ntn rel
## 1489 dut_chl el_fair trs_ntn men_lead rel
## 1298 dut_ill el_fair men_lead el_brb rel
## 1117 imp_rlg el_thr ps_lead el_brb rel
## 1321 dut_ill el_thr trs_ntn ps_lead rel
## 1507 dut_chl job_men trs_ntn ps_lead rel
## 1577 job_men trs_ntn ps_lead el_brb rel
## 1557 el_fair el_thr ps_lead men_lead rel
## 1108 imp_rlg job_men men_lead el_brb rel
## 794 imp_rlg dut_ill ps_arm dut_chl el_fair
## 1122 imp_rlg trs_ntn men_lead el_brb rel
## 1113 imp_rlg el_thr trs_ntn men_lead rel
## 1314 dut_ill job_men trs_ntn el_brb rel
## 1567 job_men el_thr trs_ntn ps_lead rel
## 1053 imp_rlg dut_chl men_lead el_brb rel
## 1564 el_fair ps_lead men_lead el_brb rel
## 1474 dut_chl el_fair job_men el_brb rel
## 1097 imp_rlg job_men el_thr men_lead rel
## 1037 imp_rlg dut_chl el_thr trs_ntn rel
## 916 imp_rlg ps_arm dut_chl el_fair trs_ntn
## 1042 imp_rlg dut_chl el_thr men_lead rel
## 1331 dut_ill trs_ntn ps_lead el_brb rel
## 1098 imp_rlg job_men el_thr el_brb rel
## 1218 dut_ill dut_chl el_fair el_thr rel
## 1529 dut_chl ps_lead men_lead el_brb rel
## 903 imp_rlg dut_ill el_thr el_brb rel
## 1049 imp_rlg dut_chl trs_ntn el_brb rel
## 1544 el_fair job_men trs_ntn men_lead rel
## 1072 imp_rlg el_fair el_thr trs_ntn rel
## 1522 dut_chl el_thr ps_lead men_lead rel
## 1526 dut_chl trs_ntn ps_lead men_lead rel
## 1233 dut_ill dut_chl job_men el_thr rel
## 1579 job_men ps_lead men_lead el_brb rel
## 1483 dut_chl el_fair el_thr men_lead rel
## 954 imp_rlg ps_arm el_fair trs_ntn men_lead
## 1533 el_fair job_men el_thr trs_ntn rel
## 1243 dut_ill dut_chl job_men el_brb rel
## 1308 dut_ill job_men el_thr el_brb rel
## 1228 dut_ill dut_chl el_fair el_brb rel
## 1573 job_men el_thr ps_lead el_brb rel
## 1084 imp_rlg el_fair trs_ntn el_brb rel
## 1307 dut_ill job_men el_thr men_lead rel
## 1327 dut_ill el_thr ps_lead el_brb rel
## 1032 imp_rlg dut_chl job_men men_lead rel
## 1517 dut_chl el_thr trs_ntn ps_lead rel
## 1318 dut_ill job_men men_lead el_brb rel
## 1527 dut_chl trs_ntn ps_lead el_brb rel
## 1572 job_men el_thr ps_lead men_lead rel
## 1512 dut_chl job_men ps_lead men_lead rel
## 810 imp_rlg dut_ill ps_arm job_men trs_ntn
## 1494 dut_chl el_fair men_lead el_brb rel
## 1545 el_fair job_men trs_ntn el_brb rel
## 1576 job_men trs_ntn ps_lead men_lead rel
## 1538 el_fair job_men el_thr men_lead rel
## 914 imp_rlg ps_arm dut_chl el_fair job_men
## 1323 dut_ill el_thr trs_ntn men_lead rel
## 1549 el_fair job_men men_lead el_brb rel
## 1237 dut_ill dut_chl job_men trs_ntn rel
## 944 imp_rlg ps_arm el_fair job_men ps_lead
## 1282 dut_ill el_fair el_thr trs_ntn rel
## 1313 dut_ill job_men trs_ntn men_lead rel
## 1332 dut_ill trs_ntn men_lead el_brb rel
## 1252 dut_ill dut_chl el_thr men_lead rel
## 1510 dut_chl job_men trs_ntn el_brb rel
## 1498 dut_chl job_men el_thr trs_ntn rel
## 1263 dut_ill dut_chl men_lead el_brb rel
## 918 imp_rlg ps_arm dut_chl el_fair men_lead
## 1585 trs_ntn ps_lead men_lead el_brb rel
## 1118 imp_rlg el_thr men_lead el_brb rel
## 821 imp_rlg dut_ill ps_arm trs_ntn men_lead
## 1581 el_thr trs_ntn ps_lead men_lead rel
## 1247 dut_ill dut_chl el_thr trs_ntn rel
## 820 imp_rlg dut_ill ps_arm trs_ntn ps_lead
## 1043 imp_rlg dut_chl el_thr el_brb rel
## 1523 dut_chl el_thr ps_lead el_brb rel
## 1294 dut_ill el_fair trs_ntn el_brb rel
## 1258 dut_ill dut_chl trs_ntn men_lead rel
## 917 imp_rlg ps_arm dut_chl el_fair ps_lead
## 1478 dut_chl el_fair el_thr trs_ntn rel
## 1539 el_fair job_men el_thr el_brb rel
## 1259 dut_ill dut_chl trs_ntn el_brb rel
## 803 imp_rlg dut_ill ps_arm el_fair el_thr
## 1552 el_fair el_thr trs_ntn ps_lead rel
## 1328 dut_ill el_thr men_lead el_brb rel
## 1242 dut_ill dut_chl job_men men_lead rel
## 1504 dut_chl job_men el_thr el_brb rel
## 1528 dut_chl trs_ntn men_lead el_brb rel
## 953 imp_rlg ps_arm el_fair trs_ntn ps_lead
## 1514 dut_chl job_men men_lead el_brb rel
## 1490 dut_chl el_fair trs_ntn el_brb rel
## 1519 dut_chl el_thr trs_ntn men_lead rel
## 797 imp_rlg dut_ill ps_arm dut_chl trs_ntn
## 945 imp_rlg ps_arm el_fair job_men men_lead
## 1078 imp_rlg el_fair el_thr el_brb rel
## 1562 el_fair trs_ntn ps_lead el_brb rel
## 1554 el_fair el_thr trs_ntn men_lead rel
## 957 imp_rlg ps_arm el_fair ps_lead men_lead
## 807 imp_rlg dut_ill ps_arm el_fair el_brb
## 1578 job_men trs_ntn men_lead el_brb rel
## 1584 el_thr ps_lead men_lead el_brb rel
## 1503 dut_chl job_men el_thr men_lead rel
## 1288 dut_ill el_fair el_thr el_brb rel
## 1114 imp_rlg el_thr trs_ntn el_brb rel
## 1563 el_fair trs_ntn men_lead el_brb rel
## 1569 job_men el_thr trs_ntn men_lead rel
## 1570 job_men el_thr trs_ntn el_brb rel
## 1253 dut_ill dut_chl el_thr el_brb rel
## 811 imp_rlg dut_ill ps_arm job_men ps_lead
## 815 imp_rlg dut_ill ps_arm el_thr trs_ntn
## 1509 dut_chl job_men trs_ntn men_lead rel
## 822 imp_rlg dut_ill ps_arm trs_ntn el_brb
## 860 imp_rlg dut_ill el_fair job_men ps_lead
## 1324 dut_ill el_thr trs_ntn el_brb rel
## 1524 dut_chl el_thr men_lead el_brb rel
## 968 imp_rlg ps_arm job_men trs_ntn ps_lead
## 1484 dut_chl el_fair el_thr el_brb rel
## 1558 el_fair el_thr ps_lead el_brb rel
## 1574 job_men el_thr men_lead el_brb rel
## 942 imp_rlg ps_arm el_fair job_men el_thr
## 824 imp_rlg dut_ill ps_arm ps_lead men_lead
## 922 imp_rlg ps_arm dut_chl job_men trs_ntn
## 809 imp_rlg dut_ill ps_arm job_men el_thr
## 946 imp_rlg ps_arm el_fair job_men el_brb
## 813 imp_rlg dut_ill ps_arm job_men el_brb
## 1559 el_fair el_thr men_lead el_brb rel
## 1153 dut_ill ps_arm el_fair job_men trs_ntn
## 933 imp_rlg ps_arm dut_chl trs_ntn men_lead
## 932 imp_rlg ps_arm dut_chl trs_ntn ps_lead
## 1520 dut_chl el_thr trs_ntn el_brb rel
## 1582 el_thr trs_ntn ps_lead el_brb rel
## 970 imp_rlg ps_arm job_men trs_ntn el_brb
## 873 imp_rlg dut_ill el_fair ps_lead men_lead
## 963 imp_rlg ps_arm job_men el_thr trs_ntn
## 798 imp_rlg dut_ill ps_arm dut_chl ps_lead
## 915 imp_rlg ps_arm dut_chl el_fair el_thr
## 988 imp_rlg ps_arm trs_ntn ps_lead men_lead
## 795 imp_rlg dut_ill ps_arm dut_chl job_men
## 812 imp_rlg dut_ill ps_arm job_men men_lead
## 1583 el_thr trs_ntn men_lead el_brb rel
## 969 imp_rlg ps_arm job_men trs_ntn men_lead
## 919 imp_rlg ps_arm dut_chl el_fair el_brb
## 816 imp_rlg dut_ill ps_arm el_thr ps_lead
## 948 imp_rlg ps_arm el_fair el_thr trs_ntn
## 817 imp_rlg dut_ill ps_arm el_thr men_lead
## 827 imp_rlg dut_ill ps_arm men_lead el_brb
## 825 imp_rlg dut_ill ps_arm ps_lead el_brb
## 799 imp_rlg dut_ill ps_arm dut_chl men_lead
## 950 imp_rlg ps_arm el_fair el_thr men_lead
## 955 imp_rlg ps_arm el_fair trs_ntn el_brb
## 927 imp_rlg ps_arm dut_chl el_thr trs_ntn
## 859 imp_rlg dut_ill el_fair job_men trs_ntn
## 1059 imp_rlg el_fair job_men trs_ntn ps_lead
## 1154 dut_ill ps_arm el_fair job_men ps_lead
## 934 imp_rlg ps_arm dut_chl trs_ntn el_brb
## 960 imp_rlg ps_arm el_fair men_lead el_brb
## 1124 dut_ill ps_arm dut_chl el_fair job_men
## 869 imp_rlg dut_ill el_fair trs_ntn ps_lead
## 1164 dut_ill ps_arm el_fair trs_ntn men_lead
## 796 imp_rlg dut_ill ps_arm dut_chl el_thr
## 884 imp_rlg dut_ill job_men trs_ntn ps_lead
## 1126 dut_ill ps_arm dut_chl el_fair trs_ntn
## 991 imp_rlg ps_arm trs_ntn men_lead el_brb
## 800 imp_rlg dut_ill ps_arm dut_chl el_brb
## 979 imp_rlg ps_arm el_thr trs_ntn men_lead
## 923 imp_rlg ps_arm dut_chl job_men ps_lead
## 1000 imp_rlg dut_chl el_fair job_men ps_lead
## 1155 dut_ill ps_arm el_fair job_men men_lead
## 1128 dut_ill ps_arm dut_chl el_fair men_lead
## 1335 ps_arm dut_chl el_fair job_men trs_ntn
## 833 imp_rlg dut_ill dut_chl el_fair ps_lead
## 870 imp_rlg dut_ill el_fair trs_ntn men_lead
## 936 imp_rlg ps_arm dut_chl ps_lead men_lead
## 973 imp_rlg ps_arm job_men ps_lead el_brb
## 1555 el_fair el_thr trs_ntn el_brb rel
## 904 imp_rlg dut_ill trs_ntn ps_lead men_lead
## 1013 imp_rlg dut_chl el_fair ps_lead men_lead
## 1079 imp_rlg el_fair trs_ntn ps_lead men_lead
## 1152 dut_ill ps_arm el_fair job_men el_thr
## 964 imp_rlg ps_arm job_men el_thr ps_lead
## 949 imp_rlg ps_arm el_fair el_thr ps_lead
## 925 imp_rlg ps_arm dut_chl job_men el_brb
## 1167 dut_ill ps_arm el_fair ps_lead men_lead
## 1063 imp_rlg el_fair job_men ps_lead men_lead
## 958 imp_rlg ps_arm el_fair ps_lead el_brb
## 861 imp_rlg dut_ill el_fair job_men men_lead
## 921 imp_rlg ps_arm dut_chl job_men el_thr
## 1346 ps_arm dut_chl el_fair trs_ntn men_lead
## 978 imp_rlg ps_arm el_thr trs_ntn ps_lead
## 1127 dut_ill ps_arm dut_chl el_fair ps_lead
## 989 imp_rlg ps_arm trs_ntn ps_lead el_brb
## 972 imp_rlg ps_arm job_men ps_lead men_lead
## 1156 dut_ill ps_arm el_fair job_men el_brb
## 880 imp_rlg dut_ill job_men el_thr ps_lead
## 1009 imp_rlg dut_chl el_fair trs_ntn ps_lead
## 818 imp_rlg dut_ill ps_arm el_thr el_brb
## 830 imp_rlg dut_ill dut_chl el_fair job_men
## 1163 dut_ill ps_arm el_fair trs_ntn ps_lead
## 939 imp_rlg ps_arm dut_chl men_lead el_brb
## 937 imp_rlg ps_arm dut_chl ps_lead el_brb
## 858 imp_rlg dut_ill el_fair job_men el_thr
## 928 imp_rlg ps_arm dut_chl el_thr ps_lead
## 889 imp_rlg dut_ill job_men ps_lead el_brb
## 999 imp_rlg dut_chl el_fair job_men trs_ntn
## 1336 ps_arm dut_chl el_fair job_men ps_lead
## 929 imp_rlg ps_arm dut_chl el_thr men_lead
## 924 imp_rlg ps_arm dut_chl job_men men_lead
## 1055 imp_rlg el_fair job_men el_thr ps_lead
## 975 imp_rlg ps_arm job_men men_lead el_brb
## 865 imp_rlg dut_ill el_fair el_thr ps_lead
## 834 imp_rlg dut_ill dut_chl el_fair men_lead
## 888 imp_rlg dut_ill job_men ps_lead men_lead
## 994 imp_rlg ps_arm ps_lead men_lead el_brb
## 1173 dut_ill ps_arm job_men el_thr trs_ntn
## 879 imp_rlg dut_ill job_men el_thr trs_ntn
## 1395 ps_arm el_fair job_men trs_ntn ps_lead
## 1178 dut_ill ps_arm job_men trs_ntn ps_lead
## 848 imp_rlg dut_ill dut_chl trs_ntn ps_lead
## 862 imp_rlg dut_ill el_fair job_men el_brb
## 965 imp_rlg ps_arm job_men el_thr men_lead
## 1024 imp_rlg dut_chl job_men trs_ntn ps_lead
## 1060 imp_rlg el_fair job_men trs_ntn men_lead
## 1180 dut_ill ps_arm job_men trs_ntn el_brb
## 1010 imp_rlg dut_chl el_fair trs_ntn men_lead
## 982 imp_rlg ps_arm el_thr ps_lead men_lead
## 1064 imp_rlg el_fair job_men ps_lead el_brb
## 839 imp_rlg dut_ill dut_chl job_men ps_lead
## 894 imp_rlg dut_ill el_thr trs_ntn ps_lead
## 1089 imp_rlg job_men el_thr trs_ntn ps_lead
## 1396 ps_arm el_fair job_men trs_ntn men_lead
## 1337 ps_arm dut_chl el_fair job_men men_lead
## 1132 dut_ill ps_arm dut_chl job_men trs_ntn
## 832 imp_rlg dut_ill dut_chl el_fair trs_ntn
## 1160 dut_ill ps_arm el_fair el_thr men_lead
## 966 imp_rlg ps_arm job_men el_thr el_brb
## 1345 ps_arm dut_chl el_fair trs_ntn ps_lead
## 898 imp_rlg dut_ill el_thr ps_lead men_lead
## 874 imp_rlg dut_ill el_fair ps_lead el_brb
## 1349 ps_arm dut_chl el_fair ps_lead men_lead
## 1125 dut_ill ps_arm dut_chl el_fair el_thr
## 1100 imp_rlg job_men trs_ntn ps_lead el_brb
## 886 imp_rlg dut_ill job_men trs_ntn el_brb
## 1170 dut_ill ps_arm el_fair men_lead el_brb
## 1044 imp_rlg dut_chl trs_ntn ps_lead men_lead
## 1099 imp_rlg job_men trs_ntn ps_lead men_lead
## 1158 dut_ill ps_arm el_fair el_thr trs_ntn
## 910 imp_rlg dut_ill ps_lead men_lead el_brb
## 1269 dut_ill el_fair job_men trs_ntn ps_lead
## 852 imp_rlg dut_ill dut_chl ps_lead men_lead
## 866 imp_rlg dut_ill el_fair el_thr men_lead
## 905 imp_rlg dut_ill trs_ntn ps_lead el_brb
## 1129 dut_ill ps_arm dut_chl el_fair el_brb
## 1179 dut_ill ps_arm job_men trs_ntn men_lead
## 1334 ps_arm dut_chl el_fair job_men el_thr
## 885 imp_rlg dut_ill job_men trs_ntn men_lead
## 980 imp_rlg ps_arm el_thr trs_ntn el_brb
## 1054 imp_rlg el_fair job_men el_thr trs_ntn
## 1143 dut_ill ps_arm dut_chl trs_ntn men_lead
## 1338 ps_arm dut_chl el_fair job_men el_brb
## 1165 dut_ill ps_arm el_fair trs_ntn el_brb
## 1390 ps_arm el_fair job_men el_thr trs_ntn
## 1001 imp_rlg dut_chl el_fair job_men men_lead
## 838 imp_rlg dut_ill dut_chl job_men trs_ntn
## 895 imp_rlg dut_ill el_thr trs_ntn men_lead
## 876 imp_rlg dut_ill el_fair men_lead el_brb
## 1198 dut_ill ps_arm trs_ntn ps_lead men_lead
## 1397 ps_arm el_fair job_men trs_ntn el_brb
## 1210 dut_ill dut_chl el_fair job_men ps_lead
## 930 imp_rlg ps_arm dut_chl el_thr el_brb
## 1142 dut_ill ps_arm dut_chl trs_ntn ps_lead
## 951 imp_rlg ps_arm el_fair el_thr el_brb
## 1073 imp_rlg el_fair el_thr ps_lead men_lead
## 1174 dut_ill ps_arm job_men el_thr ps_lead
## 1061 imp_rlg el_fair job_men trs_ntn el_brb
## 1137 dut_ill ps_arm dut_chl el_thr trs_ntn
## 844 imp_rlg dut_ill dut_chl el_thr ps_lead
## 1183 dut_ill ps_arm job_men ps_lead el_brb
## 1189 dut_ill ps_arm el_thr trs_ntn men_lead
## 1399 ps_arm el_fair job_men ps_lead men_lead
## 1273 dut_ill el_fair job_men ps_lead men_lead
## 1020 imp_rlg dut_chl job_men el_thr ps_lead
## 1340 ps_arm dut_chl el_fair el_thr trs_ntn
## 1201 dut_ill ps_arm trs_ntn men_lead el_brb
## 1005 imp_rlg dut_chl el_fair el_thr ps_lead
## 1085 imp_rlg el_fair ps_lead men_lead el_brb
## 1144 dut_ill ps_arm dut_chl trs_ntn el_brb
## 1159 dut_ill ps_arm el_fair el_thr ps_lead
## 1133 dut_ill ps_arm dut_chl job_men ps_lead
## 1131 dut_ill ps_arm dut_chl job_men el_thr
## 1029 imp_rlg dut_chl job_men ps_lead el_brb
## 907 imp_rlg dut_ill trs_ntn men_lead el_brb
## 864 imp_rlg dut_ill el_fair el_thr trs_ntn
## 1135 dut_ill ps_arm dut_chl job_men el_brb
## 998 imp_rlg dut_chl el_fair job_men el_thr
## 849 imp_rlg dut_ill dut_chl trs_ntn men_lead
## 1109 imp_rlg el_thr trs_ntn ps_lead men_lead
## 1415 ps_arm el_fair trs_ntn ps_lead men_lead
## 1362 ps_arm dut_chl job_men trs_ntn el_brb
## 1342 ps_arm dut_chl el_fair el_thr men_lead
## 1034 imp_rlg dut_chl el_thr trs_ntn ps_lead
## 1347 ps_arm dut_chl el_fair trs_ntn el_brb
## 985 imp_rlg ps_arm el_thr men_lead el_brb
## 1355 ps_arm dut_chl job_men el_thr trs_ntn
## 853 imp_rlg dut_ill dut_chl ps_lead el_brb
## 1119 imp_rlg trs_ntn ps_lead men_lead el_brb
## 1352 ps_arm dut_chl el_fair men_lead el_brb
## 1360 ps_arm dut_chl job_men trs_ntn ps_lead
## 1168 dut_ill ps_arm el_fair ps_lead el_brb
## 1265 dut_ill el_fair job_men el_thr ps_lead
## 1014 imp_rlg dut_chl el_fair ps_lead el_brb
## 1019 imp_rlg dut_chl job_men el_thr trs_ntn
## 881 imp_rlg dut_ill job_men el_thr men_lead
## 1223 dut_ill dut_chl el_fair ps_lead men_lead
## 1182 dut_ill ps_arm job_men ps_lead men_lead
## 1045 imp_rlg dut_chl trs_ntn ps_lead el_brb
## 1289 dut_ill el_fair trs_ntn ps_lead men_lead
## 1002 imp_rlg dut_chl el_fair job_men el_brb
## 1028 imp_rlg dut_chl job_men ps_lead men_lead
## 837 imp_rlg dut_ill dut_chl job_men el_thr
## 1185 dut_ill ps_arm job_men men_lead el_brb
## 1093 imp_rlg job_men el_thr ps_lead men_lead
## 1175 dut_ill ps_arm job_men el_thr men_lead
## 1391 ps_arm el_fair job_men el_thr ps_lead
## 1105 imp_rlg job_men ps_lead men_lead el_brb
## 1465 dut_chl el_fair job_men trs_ntn ps_lead
## 831 imp_rlg dut_ill dut_chl el_fair el_thr
## 871 imp_rlg dut_ill el_fair trs_ntn el_brb
## 1176 dut_ill ps_arm job_men el_thr el_brb
## 1026 imp_rlg dut_chl job_men trs_ntn el_brb
## 1038 imp_rlg dut_chl el_thr ps_lead men_lead
## 1056 imp_rlg el_fair job_men el_thr men_lead
## 891 imp_rlg dut_ill job_men men_lead el_brb
## 1146 dut_ill ps_arm dut_chl ps_lead men_lead
## 1274 dut_ill el_fair job_men ps_lead el_brb
## 1400 ps_arm el_fair job_men ps_lead el_brb
## 1209 dut_ill dut_chl el_fair job_men trs_ntn
## 1050 imp_rlg dut_chl ps_lead men_lead el_brb
## 1188 dut_ill ps_arm el_thr trs_ntn ps_lead
## 882 imp_rlg dut_ill job_men el_thr el_brb
## 843 imp_rlg dut_ill dut_chl el_thr trs_ntn
## 1070 imp_rlg el_fair el_thr trs_ntn men_lead
## 1006 imp_rlg dut_chl el_fair el_thr men_lead
## 983 imp_rlg ps_arm el_thr ps_lead el_brb
## 1270 dut_ill el_fair job_men trs_ntn men_lead
## 1139 dut_ill ps_arm dut_chl el_thr men_lead
## 1149 dut_ill ps_arm dut_chl men_lead el_brb
## 841 imp_rlg dut_ill dut_chl job_men el_brb
## 1361 ps_arm dut_chl job_men trs_ntn men_lead
## 1069 imp_rlg el_fair el_thr trs_ntn ps_lead
## 1380 ps_arm dut_chl trs_ntn ps_lead men_lead
## 1066 imp_rlg el_fair job_men men_lead el_brb
## 1383 ps_arm dut_chl trs_ntn men_lead el_brb
## 1199 dut_ill ps_arm trs_ntn ps_lead el_brb
## 1090 imp_rlg job_men el_thr trs_ntn men_lead
## 1134 dut_ill ps_arm dut_chl job_men men_lead
## 1392 ps_arm el_fair job_men el_thr men_lead
## 1094 imp_rlg job_men el_thr ps_lead el_brb
## 1341 ps_arm dut_chl el_fair el_thr ps_lead
## 1371 ps_arm dut_chl el_thr trs_ntn men_lead
## 1138 dut_ill ps_arm dut_chl el_thr ps_lead
## 1299 dut_ill job_men el_thr trs_ntn ps_lead
## 1402 ps_arm el_fair job_men men_lead el_brb
## 1025 imp_rlg dut_chl job_men trs_ntn men_lead
## 1192 dut_ill ps_arm el_thr ps_lead men_lead
## 899 imp_rlg dut_ill el_thr ps_lead el_brb
## 1082 imp_rlg el_fair trs_ntn men_lead el_brb
## 1102 imp_rlg job_men trs_ntn men_lead el_brb
## 1204 dut_ill ps_arm ps_lead men_lead el_brb
## 1035 imp_rlg dut_chl el_thr trs_ntn men_lead
## 1016 imp_rlg dut_chl el_fair men_lead el_brb
## 835 imp_rlg dut_ill dut_chl el_fair el_brb
## 1264 dut_ill el_fair job_men el_thr trs_ntn
## 1147 dut_ill ps_arm dut_chl ps_lead el_brb
## 1219 dut_ill dut_chl el_fair trs_ntn ps_lead
## 1004 imp_rlg dut_chl el_fair el_thr trs_ntn
## 1350 ps_arm dut_chl el_fair ps_lead el_brb
## 1080 imp_rlg el_fair trs_ntn ps_lead el_brb
## 1406 ps_arm el_fair el_thr trs_ntn men_lead
## 1436 ps_arm job_men trs_ntn ps_lead el_brb
## 845 imp_rlg dut_ill dut_chl el_thr men_lead
## 850 imp_rlg dut_ill dut_chl trs_ntn el_brb
## 1047 imp_rlg dut_chl trs_ntn men_lead el_brb
## 1425 ps_arm job_men el_thr trs_ntn ps_lead
## 1418 ps_arm el_fair trs_ntn men_lead el_brb
## 1485 dut_chl el_fair trs_ntn ps_lead men_lead
## 1310 dut_ill job_men trs_ntn ps_lead el_brb
## 1365 ps_arm dut_chl job_men ps_lead el_brb
## 840 imp_rlg dut_ill dut_chl job_men men_lead
## 1469 dut_chl el_fair job_men ps_lead men_lead
## 1220 dut_ill dut_chl el_fair trs_ntn men_lead
## 1091 imp_rlg job_men el_thr trs_ntn el_brb
## 1234 dut_ill dut_chl job_men trs_ntn ps_lead
## 855 imp_rlg dut_ill dut_chl men_lead el_brb
## 1356 ps_arm dut_chl job_men el_thr ps_lead
## 1211 dut_ill dut_chl el_fair job_men men_lead
## 1438 ps_arm job_men trs_ntn men_lead el_brb
## 1161 dut_ill ps_arm el_fair el_thr el_brb
## 1435 ps_arm job_men trs_ntn ps_lead men_lead
## 1271 dut_ill el_fair job_men trs_ntn el_brb
## 1011 imp_rlg dut_chl el_fair trs_ntn el_brb
## 1370 ps_arm dut_chl el_thr trs_ntn ps_lead
## 1381 ps_arm dut_chl trs_ntn ps_lead el_brb
## 1309 dut_ill job_men trs_ntn ps_lead men_lead
## 1283 dut_ill el_fair el_thr ps_lead men_lead
## 1540 el_fair job_men trs_ntn ps_lead men_lead
## 1208 dut_ill dut_chl el_fair job_men el_thr
## 1426 ps_arm job_men el_thr trs_ntn men_lead
## 1190 dut_ill ps_arm el_thr trs_ntn el_brb
## 1057 imp_rlg el_fair job_men el_thr el_brb
## 1461 dut_chl el_fair job_men el_thr ps_lead
## 1393 ps_arm el_fair job_men el_thr el_brb
## 1230 dut_ill dut_chl job_men el_thr ps_lead
## 1266 dut_ill el_fair job_men el_thr men_lead
## 901 imp_rlg dut_ill el_thr men_lead el_brb
## 1427 ps_arm job_men el_thr trs_ntn el_brb
## 1195 dut_ill ps_arm el_thr men_lead el_brb
## 1140 dut_ill ps_arm dut_chl el_thr el_brb
## 1295 dut_ill el_fair ps_lead men_lead el_brb
## 1367 ps_arm dut_chl job_men men_lead el_brb
## 896 imp_rlg dut_ill el_thr trs_ntn el_brb
## 1470 dut_chl el_fair job_men ps_lead el_brb
## 1466 dut_chl el_fair job_men trs_ntn men_lead
## 1364 ps_arm dut_chl job_men ps_lead men_lead
## 1239 dut_ill dut_chl job_men ps_lead el_brb
## 1212 dut_ill dut_chl el_fair job_men el_brb
## 1254 dut_ill dut_chl trs_ntn ps_lead men_lead
## 1409 ps_arm el_fair el_thr ps_lead men_lead
## 1303 dut_ill job_men el_thr ps_lead men_lead
## 1021 imp_rlg dut_chl job_men el_thr men_lead
## 1358 ps_arm dut_chl job_men el_thr el_brb
## 1386 ps_arm dut_chl ps_lead men_lead el_brb
## 1357 ps_arm dut_chl job_men el_thr men_lead
## 1215 dut_ill dut_chl el_fair el_thr ps_lead
## 1421 ps_arm el_fair ps_lead men_lead el_brb
## 1276 dut_ill el_fair job_men men_lead el_brb
## 1031 imp_rlg dut_chl job_men men_lead el_brb
## 1229 dut_ill dut_chl job_men el_thr trs_ntn
## 1530 el_fair job_men el_thr trs_ntn ps_lead
## 1115 imp_rlg el_thr ps_lead men_lead el_brb
## 1315 dut_ill job_men ps_lead men_lead el_brb
## 1374 ps_arm dut_chl el_thr ps_lead men_lead
## 1319 dut_ill el_thr trs_ntn ps_lead men_lead
## 867 imp_rlg dut_ill el_fair el_thr el_brb
## 1039 imp_rlg dut_chl el_thr ps_lead el_brb
## 1460 dut_chl el_fair job_men el_thr trs_ntn
## 1495 dut_chl job_men el_thr trs_ntn ps_lead
## 1304 dut_ill job_men el_thr ps_lead el_brb
## 1343 ps_arm dut_chl el_fair el_thr el_brb
## 1022 imp_rlg dut_chl job_men el_thr el_brb
## 1372 ps_arm dut_chl el_thr trs_ntn el_brb
## 1506 dut_chl job_men trs_ntn ps_lead el_brb
## 1300 dut_ill job_men el_thr trs_ntn men_lead
## 1280 dut_ill el_fair el_thr trs_ntn men_lead
## 1541 el_fair job_men trs_ntn ps_lead el_brb
## 1216 dut_ill dut_chl el_fair el_thr men_lead
## 1329 dut_ill trs_ntn ps_lead men_lead el_brb
## 1236 dut_ill dut_chl job_men trs_ntn el_brb
## 1224 dut_ill dut_chl el_fair ps_lead el_brb
## 1479 dut_chl el_fair el_thr ps_lead men_lead
## 1193 dut_ill ps_arm el_thr ps_lead el_brb
## 1441 ps_arm job_men ps_lead men_lead el_brb
## 1455 ps_arm trs_ntn ps_lead men_lead el_brb
## 1238 dut_ill dut_chl job_men ps_lead men_lead
## 1244 dut_ill dut_chl el_thr trs_ntn ps_lead
## 1467 dut_chl el_fair job_men trs_ntn el_brb
## 1248 dut_ill dut_chl el_thr ps_lead men_lead
## 1110 imp_rlg el_thr trs_ntn ps_lead el_brb
## 1267 dut_ill el_fair job_men el_thr el_brb
## 1312 dut_ill job_men trs_ntn men_lead el_brb
## 1445 ps_arm el_thr trs_ntn ps_lead men_lead
## 1112 imp_rlg el_thr trs_ntn men_lead el_brb
## 1301 dut_ill job_men el_thr trs_ntn el_brb
## 1429 ps_arm job_men el_thr ps_lead men_lead
## 1279 dut_ill el_fair el_thr trs_ntn ps_lead
## 846 imp_rlg dut_ill dut_chl el_thr el_brb
## 1491 dut_chl el_fair ps_lead men_lead el_brb
## 1292 dut_ill el_fair trs_ntn men_lead el_brb
## 1534 el_fair job_men el_thr ps_lead men_lead
## 1096 imp_rlg job_men el_thr men_lead el_brb
## 1260 dut_ill dut_chl ps_lead men_lead el_brb
## 1226 dut_ill dut_chl el_fair men_lead el_brb
## 1505 dut_chl job_men trs_ntn ps_lead men_lead
## 1430 ps_arm job_men el_thr ps_lead el_brb
## 1405 ps_arm el_fair el_thr trs_ntn ps_lead
## 1036 imp_rlg dut_chl el_thr trs_ntn el_brb
## 1377 ps_arm dut_chl el_thr men_lead el_brb
## 1546 el_fair job_men ps_lead men_lead el_brb
## 1255 dut_ill dut_chl trs_ntn ps_lead el_brb
## 1074 imp_rlg el_fair el_thr ps_lead el_brb
## 1076 imp_rlg el_fair el_thr men_lead el_brb
## 1245 dut_ill dut_chl el_thr trs_ntn men_lead
## 1416 ps_arm el_fair trs_ntn ps_lead el_brb
## 1235 dut_ill dut_chl job_men trs_ntn men_lead
## 1214 dut_ill dut_chl el_fair el_thr trs_ntn
## 1041 imp_rlg dut_chl el_thr men_lead el_brb
## 1462 dut_chl el_fair job_men el_thr men_lead
## 1476 dut_chl el_fair el_thr trs_ntn men_lead
## 1515 dut_chl el_thr trs_ntn ps_lead men_lead
## 1290 dut_ill el_fair trs_ntn ps_lead el_brb
## 1525 dut_chl trs_ntn ps_lead men_lead el_brb
## 1475 dut_chl el_fair el_thr trs_ntn ps_lead
## 1531 el_fair job_men el_thr trs_ntn men_lead
## 1412 ps_arm el_fair el_thr men_lead el_brb
## 1257 dut_ill dut_chl trs_ntn men_lead el_brb
## 1565 job_men el_thr trs_ntn ps_lead men_lead
## 1432 ps_arm job_men el_thr men_lead el_brb
## 1575 job_men trs_ntn ps_lead men_lead el_brb
## 1007 imp_rlg dut_chl el_fair el_thr el_brb
## 1472 dut_chl el_fair job_men men_lead el_brb
## 1448 ps_arm el_thr trs_ntn men_lead el_brb
## 1231 dut_ill dut_chl job_men el_thr men_lead
## 1488 dut_chl el_fair trs_ntn men_lead el_brb
## 1375 ps_arm dut_chl el_thr ps_lead el_brb
## 1499 dut_chl job_men el_thr ps_lead men_lead
## 1511 dut_chl job_men ps_lead men_lead el_brb
## 1543 el_fair job_men trs_ntn men_lead el_brb
## 1232 dut_ill dut_chl job_men el_thr el_brb
## 1221 dut_ill dut_chl el_fair trs_ntn el_brb
## 1486 dut_chl el_fair trs_ntn ps_lead el_brb
## 1241 dut_ill dut_chl job_men men_lead el_brb
## 1500 dut_chl job_men el_thr ps_lead el_brb
## 1496 dut_chl job_men el_thr trs_ntn men_lead
## 1325 dut_ill el_thr ps_lead men_lead el_brb
## 1535 el_fair job_men el_thr ps_lead el_brb
## 1566 job_men el_thr trs_ntn ps_lead el_brb
## 1508 dut_chl job_men trs_ntn men_lead el_brb
## 1306 dut_ill job_men el_thr men_lead el_brb
## 1550 el_fair el_thr trs_ntn ps_lead men_lead
## 1497 dut_chl job_men el_thr trs_ntn el_brb
## 1463 dut_chl el_fair job_men el_thr el_brb
## 1560 el_fair trs_ntn ps_lead men_lead el_brb
## 1286 dut_ill el_fair el_thr men_lead el_brb
## 1249 dut_ill dut_chl el_thr ps_lead el_brb
## 1407 ps_arm el_fair el_thr trs_ntn el_brb
## 1322 dut_ill el_thr trs_ntn men_lead el_brb
## 1071 imp_rlg el_fair el_thr trs_ntn el_brb
## 1532 el_fair job_men el_thr trs_ntn el_brb
## 1284 dut_ill el_fair el_thr ps_lead el_brb
## 1320 dut_ill el_thr trs_ntn ps_lead el_brb
## 1451 ps_arm el_thr ps_lead men_lead el_brb
## 1251 dut_ill dut_chl el_thr men_lead el_brb
## 1521 dut_chl el_thr ps_lead men_lead el_brb
## 1571 job_men el_thr ps_lead men_lead el_brb
## 1246 dut_ill dut_chl el_thr trs_ntn el_brb
## 1446 ps_arm el_thr trs_ntn ps_lead el_brb
## 1217 dut_ill dut_chl el_fair el_thr el_brb
## 1568 job_men el_thr trs_ntn men_lead el_brb
## 1516 dut_chl el_thr trs_ntn ps_lead el_brb
## 1518 dut_chl el_thr trs_ntn men_lead el_brb
## 1410 ps_arm el_fair el_thr ps_lead el_brb
## 1537 el_fair job_men el_thr men_lead el_brb
## 1482 dut_chl el_fair el_thr men_lead el_brb
## 1480 dut_chl el_fair el_thr ps_lead el_brb
## 1502 dut_chl job_men el_thr men_lead el_brb
## 1281 dut_ill el_fair el_thr trs_ntn el_brb
## 1556 el_fair el_thr ps_lead men_lead el_brb
## 1580 el_thr trs_ntn ps_lead men_lead el_brb
## 1477 dut_chl el_fair el_thr trs_ntn el_brb
## 1553 el_fair el_thr trs_ntn men_lead el_brb
## 1551 el_fair el_thr trs_ntn ps_lead el_brb
## 1628 imp_rlg dut_ill ps_arm el_fair trs_ntn rel
## 1631 imp_rlg dut_ill ps_arm el_fair ps_lead rel
## 1619 imp_rlg dut_ill ps_arm el_fair job_men rel
## 1633 imp_rlg dut_ill ps_arm el_fair men_lead rel
## 1592 imp_rlg dut_ill ps_arm dut_chl el_fair rel
## 1810 imp_rlg ps_arm dut_chl el_fair trs_ntn rel
## 1860 imp_rlg ps_arm el_fair job_men trs_ntn rel
## 1813 imp_rlg ps_arm dut_chl el_fair ps_lead rel
## 1624 imp_rlg dut_ill ps_arm el_fair el_thr rel
## 1881 imp_rlg ps_arm el_fair trs_ntn men_lead rel
## 1634 imp_rlg dut_ill ps_arm el_fair el_brb rel
## 1815 imp_rlg ps_arm dut_chl el_fair men_lead rel
## 1863 imp_rlg ps_arm el_fair job_men ps_lead rel
## 1801 imp_rlg ps_arm dut_chl el_fair job_men rel
## 1879 imp_rlg ps_arm el_fair trs_ntn ps_lead rel
## 1884 imp_rlg ps_arm el_fair ps_lead men_lead rel
## 1865 imp_rlg ps_arm el_fair job_men men_lead rel
## 1806 imp_rlg ps_arm dut_chl el_fair el_thr rel
## 1662 imp_rlg dut_ill ps_arm trs_ntn ps_lead rel
## 1816 imp_rlg ps_arm dut_chl el_fair el_brb rel
## 1856 imp_rlg ps_arm el_fair job_men el_thr rel
## 1866 imp_rlg ps_arm el_fair job_men el_brb rel
## 1643 imp_rlg dut_ill ps_arm job_men trs_ntn rel
## 1870 imp_rlg ps_arm el_fair el_thr trs_ntn rel
## 1665 imp_rlg dut_ill ps_arm trs_ntn el_brb rel
## 1664 imp_rlg dut_ill ps_arm trs_ntn men_lead rel
## 1882 imp_rlg ps_arm el_fair trs_ntn el_brb rel
## 1653 imp_rlg dut_ill ps_arm el_thr trs_ntn rel
## 1886 imp_rlg ps_arm el_fair men_lead el_brb rel
## 1875 imp_rlg ps_arm el_fair el_thr men_lead rel
## 2112 dut_ill ps_arm el_fair job_men trs_ntn rel
## 1607 imp_rlg dut_ill ps_arm dut_chl trs_ntn rel
## 1873 imp_rlg ps_arm el_fair el_thr ps_lead rel
## 2062 dut_ill ps_arm dut_chl el_fair trs_ntn rel
## 1885 imp_rlg ps_arm el_fair ps_lead el_brb rel
## 2115 dut_ill ps_arm el_fair job_men ps_lead rel
## 1646 imp_rlg dut_ill ps_arm job_men ps_lead rel
## 1668 imp_rlg dut_ill ps_arm ps_lead el_brb rel
## 2053 dut_ill ps_arm dut_chl el_fair job_men rel
## 2133 dut_ill ps_arm el_fair trs_ntn men_lead rel
## 2065 dut_ill ps_arm dut_chl el_fair ps_lead rel
## 1667 imp_rlg dut_ill ps_arm ps_lead men_lead rel
## 1649 imp_rlg dut_ill ps_arm job_men el_brb rel
## 1656 imp_rlg dut_ill ps_arm el_thr ps_lead rel
## 2067 dut_ill ps_arm dut_chl el_fair men_lead rel
## 1610 imp_rlg dut_ill ps_arm dut_chl ps_lead rel
## 2136 dut_ill ps_arm el_fair ps_lead men_lead rel
## 1639 imp_rlg dut_ill ps_arm job_men el_thr rel
## 1844 imp_rlg ps_arm dut_chl trs_ntn ps_lead rel
## 1669 imp_rlg dut_ill ps_arm men_lead el_brb rel
## 2131 dut_ill ps_arm el_fair trs_ntn ps_lead rel
## 2117 dut_ill ps_arm el_fair job_men men_lead rel
## 1613 imp_rlg dut_ill ps_arm dut_chl el_brb rel
## 1847 imp_rlg ps_arm dut_chl trs_ntn el_brb rel
## 1899 imp_rlg ps_arm job_men trs_ntn ps_lead rel
## 1658 imp_rlg dut_ill ps_arm el_thr men_lead rel
## 2108 dut_ill ps_arm el_fair job_men el_thr rel
## 1902 imp_rlg ps_arm job_men trs_ntn el_brb rel
## 1603 imp_rlg dut_ill ps_arm dut_chl el_thr rel
## 2308 ps_arm dut_chl el_fair job_men trs_ntn rel
## 2118 dut_ill ps_arm el_fair job_men el_brb rel
## 1835 imp_rlg ps_arm dut_chl el_thr trs_ntn rel
## 1846 imp_rlg ps_arm dut_chl trs_ntn men_lead rel
## 1825 imp_rlg ps_arm dut_chl job_men trs_ntn rel
## 1918 imp_rlg ps_arm trs_ntn ps_lead men_lead rel
## 2329 ps_arm dut_chl el_fair trs_ntn men_lead rel
## 2058 dut_ill ps_arm dut_chl el_fair el_thr rel
## 1890 imp_rlg ps_arm job_men el_thr trs_ntn rel
## 1598 imp_rlg dut_ill ps_arm dut_chl job_men rel
## 1612 imp_rlg dut_ill ps_arm dut_chl men_lead rel
## 2068 dut_ill ps_arm dut_chl el_fair el_brb rel
## 2311 ps_arm dut_chl el_fair job_men ps_lead rel
## 1920 imp_rlg ps_arm trs_ntn men_lead el_brb rel
## 1648 imp_rlg dut_ill ps_arm job_men men_lead rel
## 2327 ps_arm dut_chl el_fair trs_ntn ps_lead rel
## 1659 imp_rlg dut_ill ps_arm el_thr el_brb rel
## 1919 imp_rlg ps_arm trs_ntn ps_lead el_brb rel
## 2127 dut_ill ps_arm el_fair el_thr men_lead rel
## 1850 imp_rlg ps_arm dut_chl ps_lead el_brb rel
## 2332 ps_arm dut_chl el_fair ps_lead men_lead rel
## 2138 dut_ill ps_arm el_fair men_lead el_brb rel
## 2122 dut_ill ps_arm el_fair el_thr trs_ntn rel
## 1905 imp_rlg ps_arm job_men ps_lead el_brb rel
## 1909 imp_rlg ps_arm el_thr trs_ntn ps_lead rel
## 1876 imp_rlg ps_arm el_fair el_thr el_brb rel
## 1911 imp_rlg ps_arm el_thr trs_ntn men_lead rel
## 2134 dut_ill ps_arm el_fair trs_ntn el_brb rel
## 2125 dut_ill ps_arm el_fair el_thr ps_lead rel
## 1901 imp_rlg ps_arm job_men trs_ntn men_lead rel
## 1838 imp_rlg ps_arm dut_chl el_thr ps_lead rel
## 1828 imp_rlg ps_arm dut_chl job_men ps_lead rel
## 1831 imp_rlg ps_arm dut_chl job_men el_brb rel
## 1849 imp_rlg ps_arm dut_chl ps_lead men_lead rel
## 2137 dut_ill ps_arm el_fair ps_lead el_brb rel
## 2382 ps_arm el_fair job_men trs_ntn ps_lead rel
## 1893 imp_rlg ps_arm job_men el_thr ps_lead rel
## 1851 imp_rlg ps_arm dut_chl men_lead el_brb rel
## 2313 ps_arm dut_chl el_fair job_men men_lead rel
## 1921 imp_rlg ps_arm ps_lead men_lead el_brb rel
## 2314 ps_arm dut_chl el_fair job_men el_brb rel
## 2304 ps_arm dut_chl el_fair job_men el_thr rel
## 1821 imp_rlg ps_arm dut_chl job_men el_thr rel
## 2318 ps_arm dut_chl el_fair el_thr trs_ntn rel
## 2330 ps_arm dut_chl el_fair trs_ntn el_brb rel
## 2384 ps_arm el_fair job_men trs_ntn men_lead rel
## 1840 imp_rlg ps_arm dut_chl el_thr men_lead rel
## 2334 ps_arm dut_chl el_fair men_lead el_brb rel
## 2323 ps_arm dut_chl el_fair el_thr men_lead rel
## 1914 imp_rlg ps_arm el_thr ps_lead men_lead rel
## 1904 imp_rlg ps_arm job_men ps_lead men_lead rel
## 2321 ps_arm dut_chl el_fair el_thr ps_lead rel
## 1906 imp_rlg ps_arm job_men men_lead el_brb rel
## 2333 ps_arm dut_chl el_fair ps_lead el_brb rel
## 2401 ps_arm el_fair trs_ntn ps_lead men_lead rel
## 1912 imp_rlg ps_arm el_thr trs_ntn el_brb rel
## 2387 ps_arm el_fair job_men ps_lead men_lead rel
## 1841 imp_rlg ps_arm dut_chl el_thr el_brb rel
## 2385 ps_arm el_fair job_men trs_ntn el_brb rel
## 2373 ps_arm el_fair job_men el_thr trs_ntn rel
## 1896 imp_rlg ps_arm job_men el_thr el_brb rel
## 2154 dut_ill ps_arm job_men trs_ntn el_brb rel
## 2128 dut_ill ps_arm el_fair el_thr el_brb rel
## 2142 dut_ill ps_arm job_men el_thr trs_ntn rel
## 1830 imp_rlg ps_arm dut_chl job_men men_lead rel
## 2388 ps_arm el_fair job_men ps_lead el_brb rel
## 1895 imp_rlg ps_arm job_men el_thr men_lead rel
## 2376 ps_arm el_fair job_men el_thr ps_lead rel
## 2099 dut_ill ps_arm dut_chl trs_ntn el_brb rel
## 2151 dut_ill ps_arm job_men trs_ntn ps_lead rel
## 2157 dut_ill ps_arm job_men ps_lead el_brb rel
## 1737 imp_rlg dut_ill el_fair job_men ps_lead rel
## 1915 imp_rlg ps_arm el_thr ps_lead el_brb rel
## 2087 dut_ill ps_arm dut_chl el_thr trs_ntn rel
## 2096 dut_ill ps_arm dut_chl trs_ntn ps_lead rel
## 1916 imp_rlg ps_arm el_thr men_lead el_brb rel
## 2172 dut_ill ps_arm trs_ntn men_lead el_brb rel
## 2077 dut_ill ps_arm dut_chl job_men trs_ntn rel
## 2145 dut_ill ps_arm job_men el_thr ps_lead rel
## 2083 dut_ill ps_arm dut_chl job_men el_brb rel
## 2403 ps_arm el_fair trs_ntn men_lead el_brb rel
## 2394 ps_arm el_fair el_thr trs_ntn men_lead rel
## 2171 dut_ill ps_arm trs_ntn ps_lead el_brb rel
## 2102 dut_ill ps_arm dut_chl ps_lead el_brb rel
## 2170 dut_ill ps_arm trs_ntn ps_lead men_lead rel
## 2389 ps_arm el_fair job_men men_lead el_brb rel
## 1758 imp_rlg dut_ill el_fair ps_lead men_lead rel
## 2163 dut_ill ps_arm el_thr trs_ntn men_lead rel
## 2378 ps_arm el_fair job_men el_thr men_lead rel
## 2098 dut_ill ps_arm dut_chl trs_ntn men_lead rel
## 2161 dut_ill ps_arm el_thr trs_ntn ps_lead rel
## 2090 dut_ill ps_arm dut_chl el_thr ps_lead rel
## 2324 ps_arm dut_chl el_fair el_thr el_brb rel
## 2173 dut_ill ps_arm ps_lead men_lead el_brb rel
## 2073 dut_ill ps_arm dut_chl job_men el_thr rel
## 2103 dut_ill ps_arm dut_chl men_lead el_brb rel
## 2404 ps_arm el_fair ps_lead men_lead el_brb rel
## 2350 ps_arm dut_chl job_men trs_ntn el_brb rel
## 2397 ps_arm el_fair el_thr ps_lead men_lead rel
## 2153 dut_ill ps_arm job_men trs_ntn men_lead rel
## 2080 dut_ill ps_arm dut_chl job_men ps_lead rel
## 2148 dut_ill ps_arm job_men el_thr el_brb rel
## 2158 dut_ill ps_arm job_men men_lead el_brb rel
## 2166 dut_ill ps_arm el_thr ps_lead men_lead rel
## 2101 dut_ill ps_arm dut_chl ps_lead men_lead rel
## 2379 ps_arm el_fair job_men el_thr el_brb rel
## 2092 dut_ill ps_arm dut_chl el_thr men_lead rel
## 2368 ps_arm dut_chl trs_ntn men_lead el_brb rel
## 2367 ps_arm dut_chl trs_ntn ps_lead el_brb rel
## 2338 ps_arm dut_chl job_men el_thr trs_ntn rel
## 2164 dut_ill ps_arm el_thr trs_ntn el_brb rel
## 2156 dut_ill ps_arm job_men ps_lead men_lead rel
## 2147 dut_ill ps_arm job_men el_thr men_lead rel
## 2093 dut_ill ps_arm dut_chl el_thr el_brb rel
## 1753 imp_rlg dut_ill el_fair trs_ntn ps_lead rel
## 2347 ps_arm dut_chl job_men trs_ntn ps_lead rel
## 2392 ps_arm el_fair el_thr trs_ntn ps_lead rel
## 2353 ps_arm dut_chl job_men ps_lead el_brb rel
## 1687 imp_rlg dut_ill dut_chl el_fair ps_lead rel
## 2402 ps_arm el_fair trs_ntn ps_lead el_brb rel
## 2357 ps_arm dut_chl el_thr trs_ntn ps_lead rel
## 2417 ps_arm job_men trs_ntn ps_lead el_brb rel
## 2359 ps_arm dut_chl el_thr trs_ntn men_lead rel
## 2366 ps_arm dut_chl trs_ntn ps_lead men_lead rel
## 2168 dut_ill ps_arm el_thr men_lead el_brb rel
## 2004 imp_rlg el_fair job_men trs_ntn ps_lead rel
## 2167 dut_ill ps_arm el_thr ps_lead el_brb rel
## 1933 imp_rlg dut_chl el_fair job_men ps_lead rel
## 2369 ps_arm dut_chl ps_lead men_lead el_brb rel
## 1954 imp_rlg dut_chl el_fair ps_lead men_lead rel
## 2082 dut_ill ps_arm dut_chl job_men men_lead rel
## 2341 ps_arm dut_chl job_men el_thr ps_lead rel
## 2407 ps_arm job_men el_thr trs_ntn ps_lead rel
## 2360 ps_arm dut_chl el_thr trs_ntn el_brb rel
## 2399 ps_arm el_fair el_thr men_lead el_brb rel
## 2418 ps_arm job_men trs_ntn men_lead el_brb rel
## 2349 ps_arm dut_chl job_men trs_ntn men_lead rel
## 2009 imp_rlg el_fair job_men ps_lead men_lead rel
## 2344 ps_arm dut_chl job_men el_thr el_brb rel
## 2023 imp_rlg el_fair trs_ntn ps_lead men_lead rel
## 2354 ps_arm dut_chl job_men men_lead el_brb rel
## 1747 imp_rlg dut_ill el_fair el_thr ps_lead rel
## 2362 ps_arm dut_chl el_thr ps_lead men_lead rel
## 2410 ps_arm job_men el_thr trs_ntn el_brb rel
## 1949 imp_rlg dut_chl el_fair trs_ntn ps_lead rel
## 2425 ps_arm trs_ntn ps_lead men_lead el_brb rel
## 1734 imp_rlg dut_ill el_fair job_men trs_ntn rel
## 2363 ps_arm dut_chl el_thr ps_lead el_brb rel
## 1759 imp_rlg dut_ill el_fair ps_lead el_brb rel
## 2395 ps_arm el_fair el_thr trs_ntn el_brb rel
## 2416 ps_arm job_men trs_ntn ps_lead men_lead rel
## 2409 ps_arm job_men el_thr trs_ntn men_lead rel
## 1998 imp_rlg el_fair job_men el_thr ps_lead rel
## 1773 imp_rlg dut_ill job_men trs_ntn ps_lead rel
## 2364 ps_arm dut_chl el_thr men_lead el_brb rel
## 2419 ps_arm job_men ps_lead men_lead el_brb rel
## 2352 ps_arm dut_chl job_men ps_lead men_lead rel
## 2343 ps_arm dut_chl job_men el_thr men_lead rel
## 1767 imp_rlg dut_ill job_men el_thr ps_lead rel
## 2398 ps_arm el_fair el_thr ps_lead el_brb rel
## 2010 imp_rlg el_fair job_men ps_lead el_brb rel
## 2413 ps_arm job_men el_thr ps_lead el_brb rel
## 2421 ps_arm el_thr trs_ntn ps_lead men_lead rel
## 1779 imp_rlg dut_ill job_men ps_lead el_brb rel
## 1755 imp_rlg dut_ill el_fair trs_ntn men_lead rel
## 1792 imp_rlg dut_ill trs_ntn ps_lead men_lead rel
## 1739 imp_rlg dut_ill el_fair job_men men_lead rel
## 2412 ps_arm job_men el_thr ps_lead men_lead rel
## 1730 imp_rlg dut_ill el_fair job_men el_thr rel
## 2423 ps_arm el_thr trs_ntn men_lead el_brb rel
## 1675 imp_rlg dut_ill dut_chl el_fair job_men rel
## 1788 imp_rlg dut_ill el_thr ps_lead men_lead rel
## 2019 imp_rlg el_fair el_thr ps_lead men_lead rel
## 1943 imp_rlg dut_chl el_fair el_thr ps_lead rel
## 2256 dut_ill el_fair job_men trs_ntn ps_lead rel
## 1783 imp_rlg dut_ill el_thr trs_ntn ps_lead rel
## 1795 imp_rlg dut_ill ps_lead men_lead el_brb rel
## 2185 dut_ill dut_chl el_fair job_men ps_lead rel
## 1689 imp_rlg dut_ill dut_chl el_fair men_lead rel
## 2026 imp_rlg el_fair ps_lead men_lead el_brb rel
## 2414 ps_arm job_men el_thr men_lead el_brb rel
## 1740 imp_rlg dut_ill el_fair job_men el_brb rel
## 1955 imp_rlg dut_chl el_fair ps_lead el_brb rel
## 1778 imp_rlg dut_ill job_men ps_lead men_lead rel
## 2261 dut_ill el_fair job_men ps_lead men_lead rel
## 1615 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn
## 1793 imp_rlg dut_ill trs_ntn ps_lead el_brb rel
## 1718 imp_rlg dut_ill dut_chl trs_ntn ps_lead rel
## 2250 dut_ill el_fair job_men el_thr ps_lead rel
## 1702 imp_rlg dut_ill dut_chl job_men ps_lead rel
## 2424 ps_arm el_thr ps_lead men_lead el_brb rel
## 2206 dut_ill dut_chl el_fair ps_lead men_lead rel
## 1749 imp_rlg dut_ill el_fair el_thr men_lead rel
## 2422 ps_arm el_thr trs_ntn ps_lead el_brb rel
## 1930 imp_rlg dut_chl el_fair job_men trs_ntn rel
## 2039 imp_rlg job_men trs_ntn ps_lead el_brb rel
## 2029 imp_rlg job_men el_thr trs_ntn ps_lead rel
## 1712 imp_rlg dut_ill dut_chl el_thr ps_lead rel
## 1723 imp_rlg dut_ill dut_chl ps_lead men_lead rel
## 1951 imp_rlg dut_chl el_fair trs_ntn men_lead rel
## 1684 imp_rlg dut_ill dut_chl el_fair trs_ntn rel
## 2262 dut_ill el_fair job_men ps_lead el_brb rel
## 1626 imp_rlg dut_ill ps_arm el_fair trs_ntn men_lead
## 1969 imp_rlg dut_chl job_men trs_ntn ps_lead rel
## 1724 imp_rlg dut_ill dut_chl ps_lead el_brb rel
## 2275 dut_ill el_fair trs_ntn ps_lead men_lead rel
## 1760 imp_rlg dut_ill el_fair men_lead el_brb rel
## 2006 imp_rlg el_fair job_men trs_ntn men_lead rel
## 1988 imp_rlg dut_chl trs_ntn ps_lead men_lead rel
## 1975 imp_rlg dut_chl job_men ps_lead el_brb rel
## 1963 imp_rlg dut_chl job_men el_thr ps_lead rel
## 1764 imp_rlg dut_ill job_men el_thr trs_ntn rel
## 2038 imp_rlg job_men trs_ntn ps_lead men_lead rel
## 2014 imp_rlg el_fair el_thr trs_ntn ps_lead rel
## 2438 dut_chl el_fair job_men trs_ntn ps_lead rel
## 1935 imp_rlg dut_chl el_fair job_men men_lead rel
## 1979 imp_rlg dut_chl el_thr trs_ntn ps_lead rel
## 2201 dut_ill dut_chl el_fair trs_ntn ps_lead rel
## 1789 imp_rlg dut_ill el_thr ps_lead el_brb rel
## 1995 imp_rlg el_fair job_men el_thr trs_ntn rel
## 2047 imp_rlg trs_ntn ps_lead men_lead el_brb rel
## 2271 dut_ill el_fair el_thr ps_lead men_lead rel
## 1991 imp_rlg dut_chl ps_lead men_lead el_brb rel
## 1989 imp_rlg dut_chl trs_ntn ps_lead el_brb rel
## 2043 imp_rlg el_thr trs_ntn ps_lead men_lead rel
## 1776 imp_rlg dut_ill job_men trs_ntn el_brb rel
## 2024 imp_rlg el_fair trs_ntn ps_lead el_brb rel
## 1984 imp_rlg dut_chl el_thr ps_lead men_lead rel
## 1625 imp_rlg dut_ill ps_arm el_fair trs_ntn ps_lead
## 1744 imp_rlg dut_ill el_fair el_thr trs_ntn rel
## 1926 imp_rlg dut_chl el_fair job_men el_thr rel
## 1588 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn
## 2041 imp_rlg job_men ps_lead men_lead el_brb rel
## 1680 imp_rlg dut_ill dut_chl el_fair el_thr rel
## 1616 imp_rlg dut_ill ps_arm el_fair job_men ps_lead
## 2443 dut_chl el_fair job_men ps_lead men_lead rel
## 2457 dut_chl el_fair trs_ntn ps_lead men_lead rel
## 2278 dut_ill el_fair ps_lead men_lead el_brb rel
## 2007 imp_rlg el_fair job_men trs_ntn el_brb rel
## 2034 imp_rlg job_men el_thr ps_lead men_lead rel
## 2035 imp_rlg job_men el_thr ps_lead el_brb rel
## 2195 dut_ill dut_chl el_fair el_thr ps_lead rel
## 2432 dut_chl el_fair job_men el_thr ps_lead rel
## 1936 imp_rlg dut_chl el_fair job_men el_brb rel
## 1945 imp_rlg dut_chl el_fair el_thr men_lead rel
## 1785 imp_rlg dut_ill el_thr trs_ntn men_lead rel
## 1756 imp_rlg dut_ill el_fair trs_ntn el_brb rel
## 1974 imp_rlg dut_chl job_men ps_lead men_lead rel
## 2444 dut_chl el_fair job_men ps_lead el_brb rel
## 2000 imp_rlg el_fair job_men el_thr men_lead rel
## 1690 imp_rlg dut_ill dut_chl el_fair el_brb rel
## 2281 dut_ill job_men el_thr trs_ntn ps_lead rel
## 1629 imp_rlg dut_ill ps_arm el_fair ps_lead men_lead
## 2207 dut_ill dut_chl el_fair ps_lead el_brb rel
## 1794 imp_rlg dut_ill trs_ntn men_lead el_brb rel
## 1956 imp_rlg dut_chl el_fair men_lead el_brb rel
## 2291 dut_ill job_men trs_ntn ps_lead el_brb rel
## 2011 imp_rlg el_fair job_men men_lead el_brb rel
## 2016 imp_rlg el_fair el_thr trs_ntn men_lead rel
## 1775 imp_rlg dut_ill job_men trs_ntn men_lead rel
## 2182 dut_ill dut_chl el_fair job_men trs_ntn rel
## 2493 el_fair job_men trs_ntn ps_lead men_lead rel
## 2453 dut_chl el_fair el_thr ps_lead men_lead rel
## 2258 dut_ill el_fair job_men trs_ntn men_lead rel
## 1769 imp_rlg dut_ill job_men el_thr men_lead rel
## 1770 imp_rlg dut_ill job_men el_thr el_brb rel
## 2247 dut_ill el_fair job_men el_thr trs_ntn rel
## 1797 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn
## 1695 imp_rlg dut_ill dut_chl job_men el_thr rel
## 1780 imp_rlg dut_ill job_men men_lead el_brb rel
## 1940 imp_rlg dut_chl el_fair el_thr trs_ntn rel
## 2460 dut_chl el_fair ps_lead men_lead el_brb rel
## 1699 imp_rlg dut_ill dut_chl job_men trs_ntn rel
## 2025 imp_rlg el_fair trs_ntn men_lead el_brb rel
## 2215 dut_ill dut_chl job_men el_thr ps_lead rel
## 1808 imp_rlg ps_arm dut_chl el_fair trs_ntn men_lead
## 2227 dut_ill dut_chl job_men ps_lead el_brb rel
## 2178 dut_ill dut_chl el_fair job_men el_thr rel
## 1985 imp_rlg dut_chl el_thr ps_lead el_brb rel
## 1705 imp_rlg dut_ill dut_chl job_men el_brb rel
## 1586 imp_rlg dut_ill ps_arm dut_chl el_fair job_men
## 2484 el_fair job_men el_thr trs_ntn ps_lead rel
## 2203 dut_ill dut_chl el_fair trs_ntn men_lead rel
## 2266 dut_ill el_fair el_thr trs_ntn ps_lead rel
## 2187 dut_ill dut_chl el_fair job_men men_lead rel
## 1617 imp_rlg dut_ill ps_arm el_fair job_men men_lead
## 2046 imp_rlg el_thr ps_lead men_lead el_brb rel
## 1709 imp_rlg dut_ill dut_chl el_thr trs_ntn rel
## 2287 dut_ill job_men el_thr ps_lead el_brb rel
## 1720 imp_rlg dut_ill dut_chl trs_ntn men_lead rel
## 1960 imp_rlg dut_chl job_men el_thr trs_ntn rel
## 2020 imp_rlg el_fair el_thr ps_lead el_brb rel
## 2252 dut_ill el_fair job_men el_thr men_lead rel
## 1590 imp_rlg dut_ill ps_arm dut_chl el_fair men_lead
## 1589 imp_rlg dut_ill ps_arm dut_chl el_fair ps_lead
## 1972 imp_rlg dut_chl job_men trs_ntn el_brb rel
## 2259 dut_ill el_fair job_men trs_ntn el_brb rel
## 1857 imp_rlg ps_arm el_fair job_men trs_ntn ps_lead
## 2293 dut_ill job_men ps_lead men_lead el_brb rel
## 2494 el_fair job_men trs_ntn ps_lead el_brb rel
## 2286 dut_ill job_men el_thr ps_lead men_lead rel
## 1952 imp_rlg dut_chl el_fair trs_ntn el_brb rel
## 2489 el_fair job_men el_thr ps_lead men_lead rel
## 1714 imp_rlg dut_ill dut_chl el_thr men_lead rel
## 2001 imp_rlg el_fair job_men el_thr el_brb rel
## 2221 dut_ill dut_chl job_men trs_ntn ps_lead rel
## 2188 dut_ill dut_chl el_fair job_men el_brb rel
## 2496 el_fair job_men ps_lead men_lead el_brb rel
## 2295 dut_ill el_thr trs_ntn ps_lead men_lead rel
## 1725 imp_rlg dut_ill dut_chl men_lead el_brb rel
## 2276 dut_ill el_fair trs_ntn ps_lead el_brb rel
## 1721 imp_rlg dut_ill dut_chl trs_ntn el_brb rel
## 1750 imp_rlg dut_ill el_fair el_thr el_brb rel
## 1807 imp_rlg ps_arm dut_chl el_fair trs_ntn ps_lead
## 2236 dut_ill dut_chl el_thr ps_lead men_lead rel
## 2263 dut_ill el_fair job_men men_lead el_brb rel
## 2290 dut_ill job_men trs_ntn ps_lead men_lead rel
## 2243 dut_ill dut_chl ps_lead men_lead el_brb rel
## 2299 dut_ill trs_ntn ps_lead men_lead el_brb rel
## 2197 dut_ill dut_chl el_fair el_thr men_lead rel
## 1981 imp_rlg dut_chl el_thr trs_ntn men_lead rel
## 1990 imp_rlg dut_chl trs_ntn men_lead el_brb rel
## 1790 imp_rlg dut_ill el_thr men_lead el_brb rel
## 2040 imp_rlg job_men trs_ntn men_lead el_brb rel
## 2448 dut_chl el_fair el_thr trs_ntn ps_lead rel
## 2231 dut_ill dut_chl el_thr trs_ntn ps_lead rel
## 2031 imp_rlg job_men el_thr trs_ntn men_lead rel
## 2044 imp_rlg el_thr trs_ntn ps_lead el_brb rel
## 1620 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn
## 2473 dut_chl job_men trs_ntn ps_lead el_brb rel
## 1614 imp_rlg dut_ill ps_arm el_fair job_men el_thr
## 2240 dut_ill dut_chl trs_ntn ps_lead men_lead rel
## 2463 dut_chl job_men el_thr trs_ntn ps_lead rel
## 2268 dut_ill el_fair el_thr trs_ntn men_lead rel
## 2032 imp_rlg job_men el_thr trs_ntn el_brb rel
## 2241 dut_ill dut_chl trs_ntn ps_lead el_brb rel
## 2253 dut_ill el_fair job_men el_thr el_brb rel
## 1858 imp_rlg ps_arm el_fair job_men trs_ntn men_lead
## 2208 dut_ill dut_chl el_fair men_lead el_brb rel
## 2458 dut_chl el_fair trs_ntn ps_lead el_brb rel
## 2440 dut_chl el_fair job_men trs_ntn men_lead rel
## 1618 imp_rlg dut_ill ps_arm el_fair job_men el_brb
## 1877 imp_rlg ps_arm el_fair trs_ntn ps_lead men_lead
## 2429 dut_chl el_fair job_men el_thr trs_ntn rel
## 1786 imp_rlg dut_ill el_thr trs_ntn el_brb rel
## 1627 imp_rlg dut_ill ps_arm el_fair trs_ntn el_brb
## 2490 el_fair job_men el_thr ps_lead el_brb rel
## 2272 dut_ill el_fair el_thr ps_lead el_brb rel
## 1704 imp_rlg dut_ill dut_chl job_men men_lead rel
## 2226 dut_ill dut_chl job_men ps_lead men_lead rel
## 2298 dut_ill el_thr ps_lead men_lead el_brb rel
## 1971 imp_rlg dut_chl job_men trs_ntn men_lead rel
## 2277 dut_ill el_fair trs_ntn men_lead el_brb rel
## 2498 el_fair el_thr trs_ntn ps_lead men_lead rel
## 1640 imp_rlg dut_ill ps_arm job_men trs_ntn ps_lead
## 2441 dut_chl el_fair job_men trs_ntn el_brb rel
## 2481 dut_chl trs_ntn ps_lead men_lead el_brb rel
## 1966 imp_rlg dut_chl job_men el_thr el_brb rel
## 1976 imp_rlg dut_chl job_men men_lead el_brb rel
## 1798 imp_rlg ps_arm dut_chl el_fair job_men ps_lead
## 2021 imp_rlg el_fair el_thr men_lead el_brb rel
## 2477 dut_chl el_thr trs_ntn ps_lead men_lead rel
## 2192 dut_ill dut_chl el_fair el_thr trs_ntn rel
## 2469 dut_chl job_men el_thr ps_lead el_brb rel
## 1965 imp_rlg dut_chl job_men el_thr men_lead rel
## 2237 dut_ill dut_chl el_thr ps_lead el_brb rel
## 2502 el_fair trs_ntn ps_lead men_lead el_brb rel
## 1715 imp_rlg dut_ill dut_chl el_thr el_brb rel
## 2475 dut_chl job_men ps_lead men_lead el_brb rel
## 1622 imp_rlg dut_ill ps_arm el_fair el_thr men_lead
## 2212 dut_ill dut_chl job_men el_thr trs_ntn rel
## 2434 dut_chl el_fair job_men el_thr men_lead rel
## 1811 imp_rlg ps_arm dut_chl el_fair ps_lead men_lead
## 1946 imp_rlg dut_chl el_fair el_thr el_brb rel
## 2450 dut_chl el_fair el_thr trs_ntn men_lead rel
## 2468 dut_chl job_men el_thr ps_lead men_lead rel
## 2224 dut_ill dut_chl job_men trs_ntn el_brb rel
## 1632 imp_rlg dut_ill ps_arm el_fair men_lead el_brb
## 2508 job_men trs_ntn ps_lead men_lead el_brb rel
## 2445 dut_chl el_fair job_men men_lead el_brb rel
## 2284 dut_ill job_men el_thr trs_ntn el_brb rel
## 2283 dut_ill job_men el_thr trs_ntn men_lead rel
## 2454 dut_chl el_fair el_thr ps_lead el_brb rel
## 2472 dut_chl job_men trs_ntn ps_lead men_lead rel
## 1660 imp_rlg dut_ill ps_arm trs_ntn ps_lead men_lead
## 1635 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn
## 2292 dut_ill job_men trs_ntn men_lead el_brb rel
## 1852 imp_rlg ps_arm el_fair job_men el_thr trs_ntn
## 2504 job_men el_thr trs_ntn ps_lead men_lead rel
## 2036 imp_rlg job_men el_thr men_lead el_brb rel
## 2459 dut_chl el_fair trs_ntn men_lead el_brb rel
## 2505 job_men el_thr trs_ntn ps_lead el_brb rel
## 2204 dut_ill dut_chl el_fair trs_ntn el_brb rel
## 1986 imp_rlg dut_chl el_thr men_lead el_brb rel
## 2045 imp_rlg el_thr trs_ntn men_lead el_brb rel
## 1621 imp_rlg dut_ill ps_arm el_fair el_thr ps_lead
## 1642 imp_rlg dut_ill ps_arm job_men trs_ntn el_brb
## 2296 dut_ill el_thr trs_ntn ps_lead el_brb rel
## 2273 dut_ill el_fair el_thr men_lead el_brb rel
## 1982 imp_rlg dut_chl el_thr trs_ntn el_brb rel
## 1859 imp_rlg ps_arm el_fair job_men trs_ntn el_brb
## 2486 el_fair job_men el_thr trs_ntn men_lead rel
## 1587 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr
## 2233 dut_ill dut_chl el_thr trs_ntn men_lead rel
## 2480 dut_chl el_thr ps_lead men_lead el_brb rel
## 2435 dut_chl el_fair job_men el_thr el_brb rel
## 2218 dut_ill dut_chl job_men el_thr el_brb rel
## 1630 imp_rlg dut_ill ps_arm el_fair ps_lead el_brb
## 2495 el_fair job_men trs_ntn men_lead el_brb rel
## 2242 dut_ill dut_chl trs_ntn men_lead el_brb rel
## 1802 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn
## 1604 imp_rlg dut_ill ps_arm dut_chl trs_ntn ps_lead
## 1861 imp_rlg ps_arm el_fair job_men ps_lead men_lead
## 1799 imp_rlg ps_arm dut_chl el_fair job_men men_lead
## 2501 el_fair el_thr ps_lead men_lead el_brb rel
## 2217 dut_ill dut_chl job_men el_thr men_lead rel
## 1594 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn
## 1591 imp_rlg dut_ill ps_arm dut_chl el_fair el_brb
## 2288 dut_ill job_men el_thr men_lead el_brb rel
## 2228 dut_ill dut_chl job_men men_lead el_brb rel
## 1641 imp_rlg dut_ill ps_arm job_men trs_ntn men_lead
## 2507 job_men el_thr ps_lead men_lead el_brb rel
## 1809 imp_rlg ps_arm dut_chl el_fair trs_ntn el_brb
## 1651 imp_rlg dut_ill ps_arm el_thr trs_ntn men_lead
## 2478 dut_chl el_thr trs_ntn ps_lead el_brb rel
## 2198 dut_ill dut_chl el_fair el_thr el_brb rel
## 1605 imp_rlg dut_ill ps_arm dut_chl trs_ntn men_lead
## 1731 imp_rlg dut_ill el_fair job_men trs_ntn ps_lead
## 1663 imp_rlg dut_ill ps_arm trs_ntn men_lead el_brb
## 1650 imp_rlg dut_ill ps_arm el_thr trs_ntn ps_lead
## 2017 imp_rlg el_fair el_thr trs_ntn el_brb rel
## 1868 imp_rlg ps_arm el_fair el_thr trs_ntn men_lead
## 2223 dut_ill dut_chl job_men trs_ntn men_lead rel
## 2455 dut_chl el_fair el_thr men_lead el_brb rel
## 2487 el_fair job_men el_thr trs_ntn el_brb rel
## 2466 dut_chl job_men el_thr trs_ntn el_brb rel
## 2297 dut_ill el_thr trs_ntn men_lead el_brb rel
## 2474 dut_chl job_men trs_ntn men_lead el_brb rel
## 2238 dut_ill dut_chl el_thr men_lead el_brb rel
## 1880 imp_rlg ps_arm el_fair trs_ntn men_lead el_brb
## 1599 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn
## 1661 imp_rlg dut_ill ps_arm trs_ntn ps_lead el_brb
## 2465 dut_chl job_men el_thr trs_ntn men_lead rel
## 1796 imp_rlg ps_arm dut_chl el_fair job_men el_thr
## 2491 el_fair job_men el_thr men_lead el_brb rel
## 1606 imp_rlg dut_ill ps_arm dut_chl trs_ntn el_brb
## 2509 el_thr trs_ntn ps_lead men_lead el_brb rel
## 1800 imp_rlg ps_arm dut_chl el_fair job_men el_brb
## 1853 imp_rlg ps_arm el_fair job_men el_thr ps_lead
## 2234 dut_ill dut_chl el_thr trs_ntn el_brb rel
## 1751 imp_rlg dut_ill el_fair trs_ntn ps_lead men_lead
## 1862 imp_rlg ps_arm el_fair job_men ps_lead el_brb
## 1636 imp_rlg dut_ill ps_arm job_men el_thr ps_lead
## 1804 imp_rlg ps_arm dut_chl el_fair el_thr men_lead
## 1822 imp_rlg ps_arm dut_chl job_men trs_ntn ps_lead
## 2269 dut_ill el_fair el_thr trs_ntn el_brb rel
## 1645 imp_rlg dut_ill ps_arm job_men ps_lead el_brb
## 1814 imp_rlg ps_arm dut_chl el_fair men_lead el_brb
## 2479 dut_chl el_thr trs_ntn men_lead el_brb rel
## 2470 dut_chl job_men el_thr men_lead el_brb rel
## 1842 imp_rlg ps_arm dut_chl trs_ntn ps_lead men_lead
## 1803 imp_rlg ps_arm dut_chl el_fair el_thr ps_lead
## 2506 job_men el_thr trs_ntn men_lead el_brb rel
## 2451 dut_chl el_fair el_thr trs_ntn el_brb rel
## 1735 imp_rlg dut_ill el_fair job_men ps_lead men_lead
## 1824 imp_rlg ps_arm dut_chl job_men trs_ntn el_brb
## 1817 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn
## 2049 dut_ill ps_arm dut_chl el_fair job_men trs_ntn
## 1812 imp_rlg ps_arm dut_chl el_fair ps_lead el_brb
## 1595 imp_rlg dut_ill ps_arm dut_chl job_men ps_lead
## 1898 imp_rlg ps_arm job_men trs_ntn ps_lead el_brb
## 1644 imp_rlg dut_ill ps_arm job_men ps_lead men_lead
## 1887 imp_rlg ps_arm job_men el_thr trs_ntn ps_lead
## 2499 el_fair el_thr trs_ntn ps_lead el_brb rel
## 1672 imp_rlg dut_ill dut_chl el_fair job_men ps_lead
## 2109 dut_ill ps_arm el_fair job_men trs_ntn ps_lead
## 1854 imp_rlg ps_arm el_fair job_men el_thr men_lead
## 1867 imp_rlg ps_arm el_fair el_thr trs_ntn ps_lead
## 1654 imp_rlg dut_ill ps_arm el_thr ps_lead men_lead
## 1623 imp_rlg dut_ill ps_arm el_fair el_thr el_brb
## 1608 imp_rlg dut_ill ps_arm dut_chl ps_lead men_lead
## 1864 imp_rlg ps_arm el_fair job_men men_lead el_brb
## 1666 imp_rlg dut_ill ps_arm ps_lead men_lead el_brb
## 2500 el_fair el_thr trs_ntn men_lead el_brb rel
## 1897 imp_rlg ps_arm job_men trs_ntn ps_lead men_lead
## 1845 imp_rlg ps_arm dut_chl trs_ntn men_lead el_brb
## 1871 imp_rlg ps_arm el_fair el_thr ps_lead men_lead
## 1878 imp_rlg ps_arm el_fair trs_ntn ps_lead el_brb
## 1833 imp_rlg ps_arm dut_chl el_thr trs_ntn men_lead
## 2060 dut_ill ps_arm dut_chl el_fair trs_ntn men_lead
## 1883 imp_rlg ps_arm el_fair ps_lead men_lead el_brb
## 1652 imp_rlg dut_ill ps_arm el_thr trs_ntn el_brb
## 1727 imp_rlg dut_ill el_fair job_men el_thr ps_lead
## 1685 imp_rlg dut_ill dut_chl el_fair ps_lead men_lead
## 1832 imp_rlg ps_arm dut_chl el_thr trs_ntn ps_lead
## 1927 imp_rlg dut_chl el_fair job_men trs_ntn ps_lead
## 1843 imp_rlg ps_arm dut_chl trs_ntn ps_lead el_brb
## 1823 imp_rlg ps_arm dut_chl job_men trs_ntn men_lead
## 2110 dut_ill ps_arm el_fair job_men trs_ntn men_lead
## 1593 imp_rlg dut_ill ps_arm dut_chl job_men el_thr
## 1597 imp_rlg dut_ill ps_arm dut_chl job_men el_brb
## 1600 imp_rlg dut_ill ps_arm dut_chl el_thr ps_lead
## 1681 imp_rlg dut_ill dut_chl el_fair trs_ntn ps_lead
## 1637 imp_rlg dut_ill ps_arm job_men el_thr men_lead
## 1647 imp_rlg dut_ill ps_arm job_men men_lead el_brb
## 1609 imp_rlg dut_ill ps_arm dut_chl ps_lead el_brb
## 1947 imp_rlg dut_chl el_fair trs_ntn ps_lead men_lead
## 1638 imp_rlg dut_ill ps_arm job_men el_thr el_brb
## 1900 imp_rlg ps_arm job_men trs_ntn men_lead el_brb
## 1736 imp_rlg dut_ill el_fair job_men ps_lead el_brb
## 2050 dut_ill ps_arm dut_chl el_fair job_men ps_lead
## 1888 imp_rlg ps_arm job_men el_thr trs_ntn men_lead
## 1917 imp_rlg ps_arm trs_ntn ps_lead men_lead el_brb
## 2104 dut_ill ps_arm el_fair job_men el_thr trs_ntn
## 1601 imp_rlg dut_ill ps_arm dut_chl el_thr men_lead
## 1611 imp_rlg dut_ill ps_arm dut_chl men_lead el_brb
## 2002 imp_rlg el_fair job_men trs_ntn ps_lead men_lead
## 1907 imp_rlg ps_arm el_thr trs_ntn ps_lead men_lead
## 1732 imp_rlg dut_ill el_fair job_men trs_ntn men_lead
## 2129 dut_ill ps_arm el_fair trs_ntn ps_lead men_lead
## 1761 imp_rlg dut_ill job_men el_thr trs_ntn ps_lead
## 2059 dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead
## 1855 imp_rlg ps_arm el_fair job_men el_thr el_brb
## 1889 imp_rlg ps_arm job_men el_thr trs_ntn el_brb
## 2111 dut_ill ps_arm el_fair job_men trs_ntn el_brb
## 1745 imp_rlg dut_ill el_fair el_thr ps_lead men_lead
## 1596 imp_rlg dut_ill ps_arm dut_chl job_men men_lead
## 1671 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn
## 2063 dut_ill ps_arm dut_chl el_fair ps_lead men_lead
## 2113 dut_ill ps_arm el_fair job_men ps_lead men_lead
## 1772 imp_rlg dut_ill job_men trs_ntn ps_lead el_brb
## 1827 imp_rlg ps_arm dut_chl job_men ps_lead el_brb
## 1726 imp_rlg dut_ill el_fair job_men el_thr trs_ntn
## 2051 dut_ill ps_arm dut_chl el_fair job_men men_lead
## 2305 ps_arm dut_chl el_fair job_men trs_ntn ps_lead
## 1818 imp_rlg ps_arm dut_chl job_men el_thr ps_lead
## 1757 imp_rlg dut_ill el_fair ps_lead men_lead el_brb
## 1657 imp_rlg dut_ill ps_arm el_thr men_lead el_brb
## 1682 imp_rlg dut_ill dut_chl el_fair trs_ntn men_lead
## 1771 imp_rlg dut_ill job_men trs_ntn ps_lead men_lead
## 1931 imp_rlg dut_chl el_fair job_men ps_lead men_lead
## 1655 imp_rlg dut_ill ps_arm el_thr ps_lead el_brb
## 1992 imp_rlg el_fair job_men el_thr trs_ntn ps_lead
## 1834 imp_rlg ps_arm dut_chl el_thr trs_ntn el_brb
## 1805 imp_rlg ps_arm dut_chl el_fair el_thr el_brb
## 2048 dut_ill ps_arm dut_chl el_fair job_men el_thr
## 2105 dut_ill ps_arm el_fair job_men el_thr ps_lead
## 1741 imp_rlg dut_ill el_fair el_thr trs_ntn ps_lead
## 1696 imp_rlg dut_ill dut_chl job_men trs_ntn ps_lead
## 2306 ps_arm dut_chl el_fair job_men trs_ntn men_lead
## 1848 imp_rlg ps_arm dut_chl ps_lead men_lead el_brb
## 1781 imp_rlg dut_ill el_thr trs_ntn ps_lead men_lead
## 1733 imp_rlg dut_ill el_fair job_men trs_ntn el_brb
## 2003 imp_rlg el_fair job_men trs_ntn ps_lead el_brb
## 2120 dut_ill ps_arm el_fair el_thr trs_ntn men_lead
## 2054 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn
## 1836 imp_rlg ps_arm dut_chl el_thr ps_lead men_lead
## 2325 ps_arm dut_chl el_fair trs_ntn ps_lead men_lead
## 1826 imp_rlg ps_arm dut_chl job_men ps_lead men_lead
## 1602 imp_rlg dut_ill ps_arm dut_chl el_thr el_brb
## 1869 imp_rlg ps_arm el_fair el_thr trs_ntn el_brb
## 2114 dut_ill ps_arm el_fair job_men ps_lead el_brb
## 2052 dut_ill ps_arm dut_chl el_fair job_men el_brb
## 1716 imp_rlg dut_ill dut_chl trs_ntn ps_lead men_lead
## 1874 imp_rlg ps_arm el_fair el_thr men_lead el_brb
## 1923 imp_rlg dut_chl el_fair job_men el_thr ps_lead
## 1910 imp_rlg ps_arm el_thr trs_ntn men_lead el_brb
## 1791 imp_rlg dut_ill trs_ntn ps_lead men_lead el_brb
## 2132 dut_ill ps_arm el_fair trs_ntn men_lead el_brb
## 1752 imp_rlg dut_ill el_fair trs_ntn ps_lead el_brb
## 1903 imp_rlg ps_arm job_men ps_lead men_lead el_brb
## 1677 imp_rlg dut_ill dut_chl el_fair el_thr ps_lead
## 2300 ps_arm dut_chl el_fair job_men el_thr trs_ntn
## 2061 dut_ill ps_arm dut_chl el_fair trs_ntn el_brb
## 2106 dut_ill ps_arm el_fair job_men el_thr men_lead
## 1742 imp_rlg dut_ill el_fair el_thr trs_ntn men_lead
## 2056 dut_ill ps_arm dut_chl el_fair el_thr men_lead
## 1891 imp_rlg ps_arm job_men el_thr ps_lead men_lead
## 1829 imp_rlg ps_arm dut_chl job_men men_lead el_brb
## 2307 ps_arm dut_chl el_fair job_men trs_ntn el_brb
## 1932 imp_rlg dut_chl el_fair job_men ps_lead el_brb
## 2116 dut_ill ps_arm el_fair job_men men_lead el_brb
## 1673 imp_rlg dut_ill dut_chl el_fair job_men men_lead
## 1928 imp_rlg dut_chl el_fair job_men trs_ntn men_lead
## 2066 dut_ill ps_arm dut_chl el_fair men_lead el_brb
## 1819 imp_rlg ps_arm dut_chl job_men el_thr men_lead
## 1892 imp_rlg ps_arm job_men el_thr ps_lead el_brb
## 1728 imp_rlg dut_ill el_fair job_men el_thr men_lead
## 1820 imp_rlg ps_arm dut_chl job_men el_thr el_brb
## 1686 imp_rlg dut_ill dut_chl el_fair ps_lead el_brb
## 1941 imp_rlg dut_chl el_fair el_thr ps_lead men_lead
## 1765 imp_rlg dut_ill job_men el_thr ps_lead men_lead
## 1706 imp_rlg dut_ill dut_chl el_thr trs_ntn ps_lead
## 1957 imp_rlg dut_chl job_men el_thr trs_ntn ps_lead
## 1754 imp_rlg dut_ill el_fair trs_ntn men_lead el_brb
## 1692 imp_rlg dut_ill dut_chl job_men el_thr ps_lead
## 2012 imp_rlg el_fair el_thr trs_ntn ps_lead men_lead
## 1996 imp_rlg el_fair job_men el_thr ps_lead men_lead
## 1670 imp_rlg dut_ill dut_chl el_fair job_men el_thr
## 2069 dut_ill ps_arm dut_chl job_men el_thr trs_ntn
## 2139 dut_ill ps_arm job_men el_thr trs_ntn ps_lead
## 2123 dut_ill ps_arm el_fair el_thr ps_lead men_lead
## 2316 ps_arm dut_chl el_fair el_thr trs_ntn men_lead
## 2309 ps_arm dut_chl el_fair job_men ps_lead men_lead
## 1937 imp_rlg dut_chl el_fair el_thr trs_ntn ps_lead
## 2055 dut_ill ps_arm dut_chl el_fair el_thr ps_lead
## 1777 imp_rlg dut_ill job_men ps_lead men_lead el_brb
## 1968 imp_rlg dut_chl job_men trs_ntn ps_lead el_brb
## 2076 dut_ill ps_arm dut_chl job_men trs_ntn el_brb
## 2150 dut_ill ps_arm job_men trs_ntn ps_lead el_brb
## 1953 imp_rlg dut_chl el_fair ps_lead men_lead el_brb
## 2074 dut_ill ps_arm dut_chl job_men trs_ntn ps_lead
## 1908 imp_rlg ps_arm el_thr trs_ntn ps_lead el_brb
## 2022 imp_rlg el_fair trs_ntn ps_lead men_lead el_brb
## 1738 imp_rlg dut_ill el_fair job_men men_lead el_brb
## 1922 imp_rlg dut_chl el_fair job_men el_thr trs_ntn
## 2008 imp_rlg el_fair job_men ps_lead men_lead el_brb
## 1701 imp_rlg dut_ill dut_chl job_men ps_lead el_brb
## 1766 imp_rlg dut_ill job_men el_thr ps_lead el_brb
## 2380 ps_arm el_fair job_men trs_ntn ps_lead men_lead
## 2328 ps_arm dut_chl el_fair trs_ntn men_lead el_brb
## 2107 dut_ill ps_arm el_fair job_men el_thr el_brb
## 2135 dut_ill ps_arm el_fair ps_lead men_lead el_brb
## 1872 imp_rlg ps_arm el_fair el_thr ps_lead el_brb
## 1717 imp_rlg dut_ill dut_chl trs_ntn ps_lead el_brb
## 2064 dut_ill ps_arm dut_chl el_fair ps_lead el_brb
## 1762 imp_rlg dut_ill job_men el_thr trs_ntn men_lead
## 1839 imp_rlg ps_arm dut_chl el_thr men_lead el_brb
## 1837 imp_rlg ps_arm dut_chl el_thr ps_lead el_brb
## 2119 dut_ill ps_arm el_fair el_thr trs_ntn ps_lead
## 1967 imp_rlg dut_chl job_men trs_ntn ps_lead men_lead
## 1948 imp_rlg dut_chl el_fair trs_ntn ps_lead el_brb
## 1977 imp_rlg dut_chl el_thr trs_ntn ps_lead men_lead
## 1674 imp_rlg dut_ill dut_chl el_fair job_men el_brb
## 1710 imp_rlg dut_ill dut_chl el_thr ps_lead men_lead
## 1691 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn
## 1678 imp_rlg dut_ill dut_chl el_fair el_thr men_lead
## 2027 imp_rlg job_men el_thr trs_ntn ps_lead men_lead
## 2301 ps_arm dut_chl el_fair job_men el_thr ps_lead
## 2179 dut_ill dut_chl el_fair job_men trs_ntn ps_lead
## 2140 dut_ill ps_arm job_men el_thr trs_ntn men_lead
## 1929 imp_rlg dut_chl el_fair job_men trs_ntn el_brb
## 2149 dut_ill ps_arm job_men trs_ntn ps_lead men_lead
## 1987 imp_rlg dut_chl trs_ntn ps_lead men_lead el_brb
## 2152 dut_ill ps_arm job_men trs_ntn men_lead el_brb
## 2037 imp_rlg job_men trs_ntn ps_lead men_lead el_brb
## 2094 dut_ill ps_arm dut_chl trs_ntn ps_lead men_lead
## 1700 imp_rlg dut_ill dut_chl job_men ps_lead men_lead
## 2085 dut_ill ps_arm dut_chl el_thr trs_ntn men_lead
## 2130 dut_ill ps_arm el_fair trs_ntn ps_lead el_brb
## 2310 ps_arm dut_chl el_fair job_men ps_lead el_brb
## 1894 imp_rlg ps_arm job_men el_thr men_lead el_brb
## 1774 imp_rlg dut_ill job_men trs_ntn men_lead el_brb
## 1676 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn
## 2141 dut_ill ps_arm job_men el_thr trs_ntn el_brb
## 1938 imp_rlg dut_chl el_fair el_thr trs_ntn men_lead
## 1722 imp_rlg dut_ill dut_chl ps_lead men_lead el_brb
## 2097 dut_ill ps_arm dut_chl trs_ntn men_lead el_brb
## 1993 imp_rlg el_fair job_men el_thr trs_ntn men_lead
## 2254 dut_ill el_fair job_men trs_ntn ps_lead men_lead
## 1729 imp_rlg dut_ill el_fair job_men el_thr el_brb
## 1763 imp_rlg dut_ill job_men el_thr trs_ntn el_brb
## 2075 dut_ill ps_arm dut_chl job_men trs_ntn men_lead
## 1913 imp_rlg ps_arm el_thr ps_lead men_lead el_brb
## 2370 ps_arm el_fair job_men el_thr trs_ntn ps_lead
## 1698 imp_rlg dut_ill dut_chl job_men trs_ntn el_brb
## 1688 imp_rlg dut_ill dut_chl el_fair men_lead el_brb
## 2084 dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead
## 2381 ps_arm el_fair job_men trs_ntn ps_lead el_brb
## 2302 ps_arm dut_chl el_fair job_men el_thr men_lead
## 2005 imp_rlg el_fair job_men trs_ntn men_lead el_brb
## 2028 imp_rlg job_men el_thr trs_ntn ps_lead el_brb
## 1707 imp_rlg dut_ill dut_chl el_thr trs_ntn men_lead
## 1997 imp_rlg el_fair job_men el_thr ps_lead el_brb
## 1950 imp_rlg dut_chl el_fair trs_ntn men_lead el_brb
## 2371 ps_arm el_fair job_men el_thr trs_ntn men_lead
## 2315 ps_arm dut_chl el_fair el_thr trs_ntn ps_lead
## 2244 dut_ill el_fair job_men el_thr trs_ntn ps_lead
## 2199 dut_ill dut_chl el_fair trs_ntn ps_lead men_lead
## 2159 dut_ill ps_arm el_thr trs_ntn ps_lead men_lead
## 2312 ps_arm dut_chl el_fair job_men men_lead el_brb
## 1782 imp_rlg dut_ill el_thr trs_ntn ps_lead el_brb
## 1746 imp_rlg dut_ill el_fair el_thr ps_lead el_brb
## 1787 imp_rlg dut_ill el_thr ps_lead men_lead el_brb
## 2095 dut_ill ps_arm dut_chl trs_ntn ps_lead el_brb
## 2383 ps_arm el_fair job_men trs_ntn men_lead el_brb
## 2070 dut_ill ps_arm dut_chl job_men el_thr ps_lead
## 2169 dut_ill ps_arm trs_ntn ps_lead men_lead el_brb
## 2319 ps_arm dut_chl el_fair el_thr ps_lead men_lead
## 2079 dut_ill ps_arm dut_chl job_men ps_lead el_brb
## 1683 imp_rlg dut_ill dut_chl el_fair trs_ntn el_brb
## 2326 ps_arm dut_chl el_fair trs_ntn ps_lead el_brb
## 1697 imp_rlg dut_ill dut_chl job_men trs_ntn men_lead
## 2183 dut_ill dut_chl el_fair job_men ps_lead men_lead
## 2331 ps_arm dut_chl el_fair ps_lead men_lead el_brb
## 2346 ps_arm dut_chl job_men trs_ntn ps_lead el_brb
## 1719 imp_rlg dut_ill dut_chl trs_ntn men_lead el_brb
## 2126 dut_ill ps_arm el_fair el_thr men_lead el_brb
## 2335 ps_arm dut_chl job_men el_thr trs_ntn ps_lead
## 1924 imp_rlg dut_chl el_fair job_men el_thr men_lead
## 2255 dut_ill el_fair job_men trs_ntn ps_lead el_brb
## 2057 dut_ill ps_arm dut_chl el_fair el_thr el_brb
## 2175 dut_ill dut_chl el_fair job_men el_thr ps_lead
## 1961 imp_rlg dut_chl job_men el_thr ps_lead men_lead
## 2155 dut_ill ps_arm job_men ps_lead men_lead el_brb
## 2143 dut_ill ps_arm job_men el_thr ps_lead men_lead
## 1973 imp_rlg dut_chl job_men ps_lead men_lead el_brb
## 2121 dut_ill ps_arm el_fair el_thr trs_ntn el_brb
## 2303 ps_arm dut_chl el_fair job_men el_thr el_brb
## 2144 dut_ill ps_arm job_men el_thr ps_lead el_brb
## 1748 imp_rlg dut_ill el_fair el_thr men_lead el_brb
## 1934 imp_rlg dut_chl el_fair job_men men_lead el_brb
## 1784 imp_rlg dut_ill el_thr trs_ntn men_lead el_brb
## 2248 dut_ill el_fair job_men el_thr ps_lead men_lead
## 2086 dut_ill ps_arm dut_chl el_thr trs_ntn el_brb
## 2348 ps_arm dut_chl job_men trs_ntn men_lead el_brb
## 2088 dut_ill ps_arm dut_chl el_thr ps_lead men_lead
## 1994 imp_rlg el_fair job_men el_thr trs_ntn el_brb
## 2100 dut_ill ps_arm dut_chl ps_lead men_lead el_brb
## 1962 imp_rlg dut_chl job_men el_thr ps_lead el_brb
## 2162 dut_ill ps_arm el_thr trs_ntn men_lead el_brb
## 2072 dut_ill ps_arm dut_chl job_men el_thr el_brb
## 2184 dut_ill dut_chl el_fair job_men ps_lead el_brb
## 1958 imp_rlg dut_chl job_men el_thr trs_ntn men_lead
## 2081 dut_ill ps_arm dut_chl job_men men_lead el_brb
## 2078 dut_ill ps_arm dut_chl job_men ps_lead men_lead
## 2071 dut_ill ps_arm dut_chl job_men el_thr men_lead
## 2372 ps_arm el_fair job_men el_thr trs_ntn el_brb
## 1711 imp_rlg dut_ill dut_chl el_thr ps_lead el_brb
## 2436 dut_chl el_fair job_men trs_ntn ps_lead men_lead
## 2336 ps_arm dut_chl job_men el_thr trs_ntn men_lead
## 2337 ps_arm dut_chl job_men el_thr trs_ntn el_brb
## 2345 ps_arm dut_chl job_men trs_ntn ps_lead men_lead
## 2374 ps_arm el_fair job_men el_thr ps_lead men_lead
## 2365 ps_arm dut_chl trs_ntn ps_lead men_lead el_brb
## 1970 imp_rlg dut_chl job_men trs_ntn men_lead el_brb
## 2180 dut_ill dut_chl el_fair job_men trs_ntn men_lead
## 2386 ps_arm el_fair job_men ps_lead men_lead el_brb
## 2260 dut_ill el_fair job_men ps_lead men_lead el_brb
## 2355 ps_arm dut_chl el_thr trs_ntn ps_lead men_lead
## 1693 imp_rlg dut_ill dut_chl job_men el_thr men_lead
## 2042 imp_rlg el_thr trs_ntn ps_lead men_lead el_brb
## 2018 imp_rlg el_fair el_thr ps_lead men_lead el_brb
## 1978 imp_rlg dut_chl el_thr trs_ntn ps_lead el_brb
## 2174 dut_ill dut_chl el_fair job_men el_thr trs_ntn
## 2193 dut_ill dut_chl el_fair el_thr ps_lead men_lead
## 1959 imp_rlg dut_chl job_men el_thr trs_ntn el_brb
## 2390 ps_arm el_fair el_thr trs_ntn ps_lead men_lead
## 2317 ps_arm dut_chl el_fair el_thr trs_ntn el_brb
## 2209 dut_ill dut_chl job_men el_thr trs_ntn ps_lead
## 1768 imp_rlg dut_ill job_men el_thr men_lead el_brb
## 2426 dut_chl el_fair job_men el_thr trs_ntn ps_lead
## 2264 dut_ill el_fair el_thr trs_ntn ps_lead men_lead
## 1942 imp_rlg dut_chl el_fair el_thr ps_lead el_brb
## 2400 ps_arm el_fair trs_ntn ps_lead men_lead el_brb
## 2146 dut_ill ps_arm job_men el_thr men_lead el_brb
## 1694 imp_rlg dut_ill dut_chl job_men el_thr el_brb
## 1703 imp_rlg dut_ill dut_chl job_men men_lead el_brb
## 1925 imp_rlg dut_chl el_fair job_men el_thr el_brb
## 2124 dut_ill ps_arm el_fair el_thr ps_lead el_brb
## 2322 ps_arm dut_chl el_fair el_thr men_lead el_brb
## 2245 dut_ill el_fair job_men el_thr trs_ntn men_lead
## 2033 imp_rlg job_men el_thr ps_lead men_lead el_brb
## 1743 imp_rlg dut_ill el_fair el_thr trs_ntn el_brb
## 1983 imp_rlg dut_chl el_thr ps_lead men_lead el_brb
## 2205 dut_ill dut_chl el_fair ps_lead men_lead el_brb
## 2220 dut_ill dut_chl job_men trs_ntn ps_lead el_brb
## 2437 dut_chl el_fair job_men trs_ntn ps_lead el_brb
## 2249 dut_ill el_fair job_men el_thr ps_lead el_brb
## 2279 dut_ill job_men el_thr trs_ntn ps_lead men_lead
## 2091 dut_ill ps_arm dut_chl el_thr men_lead el_brb
## 2274 dut_ill el_fair trs_ntn ps_lead men_lead el_brb
## 2181 dut_ill dut_chl el_fair job_men trs_ntn el_brb
## 2415 ps_arm job_men trs_ntn ps_lead men_lead el_brb
## 1708 imp_rlg dut_ill dut_chl el_thr trs_ntn el_brb
## 2160 dut_ill ps_arm el_thr trs_ntn ps_lead el_brb
## 2358 ps_arm dut_chl el_thr trs_ntn men_lead el_brb
## 2030 imp_rlg job_men el_thr trs_ntn men_lead el_brb
## 2189 dut_ill dut_chl el_fair el_thr trs_ntn ps_lead
## 2257 dut_ill el_fair job_men trs_ntn men_lead el_brb
## 2375 ps_arm el_fair job_men el_thr ps_lead el_brb
## 2289 dut_ill job_men trs_ntn ps_lead men_lead el_brb
## 2405 ps_arm job_men el_thr trs_ntn ps_lead men_lead
## 2089 dut_ill ps_arm dut_chl el_thr ps_lead el_brb
## 1999 imp_rlg el_fair job_men el_thr men_lead el_brb
## 1679 imp_rlg dut_ill dut_chl el_fair el_thr el_brb
## 1980 imp_rlg dut_chl el_thr trs_ntn men_lead el_brb
## 2280 dut_ill job_men el_thr trs_ntn ps_lead el_brb
## 2165 dut_ill ps_arm el_thr ps_lead men_lead el_brb
## 2190 dut_ill dut_chl el_fair el_thr trs_ntn men_lead
## 1944 imp_rlg dut_chl el_fair el_thr men_lead el_brb
## 2351 ps_arm dut_chl job_men ps_lead men_lead el_brb
## 2229 dut_ill dut_chl el_thr trs_ntn ps_lead men_lead
## 2015 imp_rlg el_fair el_thr trs_ntn men_lead el_brb
## 2446 dut_chl el_fair el_thr trs_ntn ps_lead men_lead
## 2406 ps_arm job_men el_thr trs_ntn ps_lead el_brb
## 1713 imp_rlg dut_ill dut_chl el_thr men_lead el_brb
## 2219 dut_ill dut_chl job_men trs_ntn ps_lead men_lead
## 2176 dut_ill dut_chl el_fair job_men el_thr men_lead
## 2430 dut_chl el_fair job_men el_thr ps_lead men_lead
## 2377 ps_arm el_fair job_men el_thr men_lead el_brb
## 2340 ps_arm dut_chl job_men el_thr ps_lead el_brb
## 2013 imp_rlg el_fair el_thr trs_ntn ps_lead el_brb
## 2339 ps_arm dut_chl job_men el_thr ps_lead men_lead
## 2200 dut_ill dut_chl el_fair trs_ntn ps_lead el_brb
## 2320 ps_arm dut_chl el_fair el_thr ps_lead el_brb
## 2239 dut_ill dut_chl trs_ntn ps_lead men_lead el_brb
## 2456 dut_chl el_fair trs_ntn ps_lead men_lead el_brb
## 2246 dut_ill el_fair job_men el_thr trs_ntn el_brb
## 2442 dut_chl el_fair job_men ps_lead men_lead el_brb
## 2202 dut_ill dut_chl el_fair trs_ntn men_lead el_brb
## 2408 ps_arm job_men el_thr trs_ntn men_lead el_brb
## 1939 imp_rlg dut_chl el_fair el_thr trs_ntn el_brb
## 2393 ps_arm el_fair el_thr trs_ntn men_lead el_brb
## 2356 ps_arm dut_chl el_thr trs_ntn ps_lead el_brb
## 2482 el_fair job_men el_thr trs_ntn ps_lead men_lead
## 2186 dut_ill dut_chl el_fair job_men men_lead el_brb
## 2213 dut_ill dut_chl job_men el_thr ps_lead men_lead
## 2427 dut_chl el_fair job_men el_thr trs_ntn men_lead
## 2214 dut_ill dut_chl job_men el_thr ps_lead el_brb
## 2492 el_fair job_men trs_ntn ps_lead men_lead el_brb
## 2225 dut_ill dut_chl job_men ps_lead men_lead el_brb
## 2342 ps_arm dut_chl job_men el_thr men_lead el_brb
## 2210 dut_ill dut_chl job_men el_thr trs_ntn men_lead
## 1964 imp_rlg dut_chl job_men el_thr men_lead el_brb
## 2177 dut_ill dut_chl el_fair job_men el_thr el_brb
## 2461 dut_chl job_men el_thr trs_ntn ps_lead men_lead
## 2439 dut_chl el_fair job_men trs_ntn men_lead el_brb
## 2270 dut_ill el_fair el_thr ps_lead men_lead el_brb
## 2431 dut_chl el_fair job_men el_thr ps_lead el_brb
## 2471 dut_chl job_men trs_ntn ps_lead men_lead el_brb
## 2285 dut_ill job_men el_thr ps_lead men_lead el_brb
## 2211 dut_ill dut_chl job_men el_thr trs_ntn el_brb
## 2361 ps_arm dut_chl el_thr ps_lead men_lead el_brb
## 2251 dut_ill el_fair job_men el_thr men_lead el_brb
## 2222 dut_ill dut_chl job_men trs_ntn men_lead el_brb
## 2462 dut_chl job_men el_thr trs_ntn ps_lead el_brb
## 2294 dut_ill el_thr trs_ntn ps_lead men_lead el_brb
## 2282 dut_ill job_men el_thr trs_ntn men_lead el_brb
## 2396 ps_arm el_fair el_thr ps_lead men_lead el_brb
## 2483 el_fair job_men el_thr trs_ntn ps_lead el_brb
## 2194 dut_ill dut_chl el_fair el_thr ps_lead el_brb
## 2428 dut_chl el_fair job_men el_thr trs_ntn el_brb
## 2235 dut_ill dut_chl el_thr ps_lead men_lead el_brb
## 2411 ps_arm job_men el_thr ps_lead men_lead el_brb
## 2420 ps_arm el_thr trs_ntn ps_lead men_lead el_brb
## 2230 dut_ill dut_chl el_thr trs_ntn ps_lead el_brb
## 2267 dut_ill el_fair el_thr trs_ntn men_lead el_brb
## 2196 dut_ill dut_chl el_fair el_thr men_lead el_brb
## 2452 dut_chl el_fair el_thr ps_lead men_lead el_brb
## 2232 dut_ill dut_chl el_thr trs_ntn men_lead el_brb
## 2476 dut_chl el_thr trs_ntn ps_lead men_lead el_brb
## 2488 el_fair job_men el_thr ps_lead men_lead el_brb
## 2265 dut_ill el_fair el_thr trs_ntn ps_lead el_brb
## 2391 ps_arm el_fair el_thr trs_ntn ps_lead el_brb
## 2503 job_men el_thr trs_ntn ps_lead men_lead el_brb
## 2216 dut_ill dut_chl job_men el_thr men_lead el_brb
## 2467 dut_chl job_men el_thr ps_lead men_lead el_brb
## 2433 dut_chl el_fair job_men el_thr men_lead el_brb
## 2449 dut_chl el_fair el_thr trs_ntn men_lead el_brb
## 2191 dut_ill dut_chl el_fair el_thr trs_ntn el_brb
## 2464 dut_chl job_men el_thr trs_ntn men_lead el_brb
## 2485 el_fair job_men el_thr trs_ntn men_lead el_brb
## 2447 dut_chl el_fair el_thr trs_ntn ps_lead el_brb
## 2497 el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 2593 imp_rlg dut_ill ps_arm el_fair trs_ntn ps_lead rel
## 2574 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn rel
## 2595 imp_rlg dut_ill ps_arm el_fair trs_ntn men_lead rel
## 2524 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn rel
## 2577 imp_rlg dut_ill ps_arm el_fair job_men ps_lead rel
## 2598 imp_rlg dut_ill ps_arm el_fair ps_lead men_lead rel
## 2527 imp_rlg dut_ill ps_arm dut_chl el_fair ps_lead rel
## 2529 imp_rlg dut_ill ps_arm dut_chl el_fair men_lead rel
## 2789 imp_rlg ps_arm dut_chl el_fair trs_ntn ps_lead rel
## 2515 imp_rlg dut_ill ps_arm dut_chl el_fair job_men rel
## 2791 imp_rlg ps_arm dut_chl el_fair trs_ntn men_lead rel
## 2584 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn rel
## 2579 imp_rlg dut_ill ps_arm el_fair job_men men_lead rel
## 2770 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn rel
## 2596 imp_rlg dut_ill ps_arm el_fair trs_ntn el_brb rel
## 2844 imp_rlg ps_arm el_fair job_men trs_ntn ps_lead rel
## 2587 imp_rlg dut_ill ps_arm el_fair el_thr ps_lead rel
## 2570 imp_rlg dut_ill ps_arm el_fair job_men el_thr rel
## 2599 imp_rlg dut_ill ps_arm el_fair ps_lead el_brb rel
## 2580 imp_rlg dut_ill ps_arm el_fair job_men el_brb rel
## 2863 imp_rlg ps_arm el_fair trs_ntn ps_lead men_lead rel
## 2589 imp_rlg dut_ill ps_arm el_fair el_thr men_lead rel
## 2794 imp_rlg ps_arm dut_chl el_fair ps_lead men_lead rel
## 2600 imp_rlg dut_ill ps_arm el_fair men_lead el_brb rel
## 2773 imp_rlg ps_arm dut_chl el_fair job_men ps_lead rel
## 2520 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr rel
## 2530 imp_rlg dut_ill ps_arm dut_chl el_fair el_brb rel
## 2846 imp_rlg ps_arm el_fair job_men trs_ntn men_lead rel
## 2780 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn rel
## 2792 imp_rlg ps_arm dut_chl el_fair trs_ntn el_brb rel
## 2835 imp_rlg ps_arm el_fair job_men el_thr trs_ntn rel
## 2849 imp_rlg ps_arm el_fair job_men ps_lead men_lead rel
## 2847 imp_rlg ps_arm el_fair job_men trs_ntn el_brb rel
## 2775 imp_rlg ps_arm dut_chl el_fair job_men men_lead rel
## 2783 imp_rlg ps_arm dut_chl el_fair el_thr ps_lead rel
## 2795 imp_rlg ps_arm dut_chl el_fair ps_lead el_brb rel
## 2856 imp_rlg ps_arm el_fair el_thr trs_ntn men_lead rel
## 2865 imp_rlg ps_arm el_fair trs_ntn men_lead el_brb rel
## 2785 imp_rlg ps_arm dut_chl el_fair el_thr men_lead rel
## 2766 imp_rlg ps_arm dut_chl el_fair job_men el_thr rel
## 2796 imp_rlg ps_arm dut_chl el_fair men_lead el_brb rel
## 2776 imp_rlg ps_arm dut_chl el_fair job_men el_brb rel
## 2590 imp_rlg dut_ill ps_arm el_fair el_thr el_brb rel
## 2838 imp_rlg ps_arm el_fair job_men el_thr ps_lead rel
## 2850 imp_rlg ps_arm el_fair job_men ps_lead el_brb rel
## 2613 imp_rlg dut_ill ps_arm job_men trs_ntn ps_lead rel
## 2854 imp_rlg ps_arm el_fair el_thr trs_ntn ps_lead rel
## 2864 imp_rlg ps_arm el_fair trs_ntn ps_lead el_brb rel
## 2633 imp_rlg dut_ill ps_arm trs_ntn ps_lead el_brb rel
## 2632 imp_rlg dut_ill ps_arm trs_ntn ps_lead men_lead rel
## 2616 imp_rlg dut_ill ps_arm job_men trs_ntn el_brb rel
## 2623 imp_rlg dut_ill ps_arm el_thr trs_ntn ps_lead rel
## 2859 imp_rlg ps_arm el_fair el_thr ps_lead men_lead rel
## 2866 imp_rlg ps_arm el_fair ps_lead men_lead el_brb rel
## 2558 imp_rlg dut_ill ps_arm dut_chl trs_ntn ps_lead rel
## 2604 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn rel
## 2634 imp_rlg dut_ill ps_arm trs_ntn men_lead el_brb rel
## 2561 imp_rlg dut_ill ps_arm dut_chl trs_ntn el_brb rel
## 2625 imp_rlg dut_ill ps_arm el_thr trs_ntn men_lead rel
## 2549 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn rel
## 2980 dut_ill ps_arm dut_chl el_fair job_men trs_ntn rel
## 3054 dut_ill ps_arm el_fair job_men trs_ntn ps_lead rel
## 3001 dut_ill ps_arm dut_chl el_fair trs_ntn men_lead rel
## 2851 imp_rlg ps_arm el_fair job_men men_lead el_brb rel
## 2840 imp_rlg ps_arm el_fair job_men el_thr men_lead rel
## 2619 imp_rlg dut_ill ps_arm job_men ps_lead el_brb rel
## 2999 dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead rel
## 2560 imp_rlg dut_ill ps_arm dut_chl trs_ntn men_lead rel
## 2539 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn rel
## 2983 dut_ill ps_arm dut_chl el_fair job_men ps_lead rel
## 2607 imp_rlg dut_ill ps_arm job_men el_thr ps_lead rel
## 3004 dut_ill ps_arm dut_chl el_fair ps_lead men_lead rel
## 2635 imp_rlg dut_ill ps_arm ps_lead men_lead el_brb rel
## 3073 dut_ill ps_arm el_fair trs_ntn ps_lead men_lead rel
## 2615 imp_rlg dut_ill ps_arm job_men trs_ntn men_lead rel
## 2786 imp_rlg ps_arm dut_chl el_fair el_thr el_brb rel
## 2564 imp_rlg dut_ill ps_arm dut_chl ps_lead el_brb rel
## 2626 imp_rlg dut_ill ps_arm el_thr trs_ntn el_brb rel
## 3056 dut_ill ps_arm el_fair job_men trs_ntn men_lead rel
## 2829 imp_rlg ps_arm dut_chl trs_ntn ps_lead el_brb rel
## 2628 imp_rlg dut_ill ps_arm el_thr ps_lead men_lead rel
## 2552 imp_rlg dut_ill ps_arm dut_chl el_thr ps_lead rel
## 2841 imp_rlg ps_arm el_fair job_men el_thr el_brb rel
## 3045 dut_ill ps_arm el_fair job_men el_thr trs_ntn rel
## 2879 imp_rlg ps_arm job_men trs_ntn ps_lead el_brb rel
## 2819 imp_rlg ps_arm dut_chl el_thr trs_ntn ps_lead rel
## 3059 dut_ill ps_arm el_fair job_men ps_lead men_lead rel
## 2812 imp_rlg ps_arm dut_chl job_men trs_ntn el_brb rel
## 2828 imp_rlg ps_arm dut_chl trs_ntn ps_lead men_lead rel
## 3057 dut_ill ps_arm el_fair job_men trs_ntn el_brb rel
## 2809 imp_rlg ps_arm dut_chl job_men trs_ntn ps_lead rel
## 2830 imp_rlg ps_arm dut_chl trs_ntn men_lead el_brb rel
## 2990 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn rel
## 2857 imp_rlg ps_arm el_fair el_thr trs_ntn el_brb rel
## 2542 imp_rlg dut_ill ps_arm dut_chl job_men ps_lead rel
## 2563 imp_rlg dut_ill ps_arm dut_chl ps_lead men_lead rel
## 2985 dut_ill ps_arm dut_chl el_fair job_men men_lead rel
## 2545 imp_rlg dut_ill ps_arm dut_chl job_men el_brb rel
## 3048 dut_ill ps_arm el_fair job_men el_thr ps_lead rel
## 2618 imp_rlg dut_ill ps_arm job_men ps_lead men_lead rel
## 3002 dut_ill ps_arm dut_chl el_fair trs_ntn el_brb rel
## 2976 dut_ill ps_arm dut_chl el_fair job_men el_thr rel
## 2861 imp_rlg ps_arm el_fair el_thr men_lead el_brb rel
## 2629 imp_rlg dut_ill ps_arm el_thr ps_lead el_brb rel
## 3060 dut_ill ps_arm el_fair job_men ps_lead el_brb rel
## 2565 imp_rlg dut_ill ps_arm dut_chl men_lead el_brb rel
## 2869 imp_rlg ps_arm job_men el_thr trs_ntn ps_lead rel
## 3194 ps_arm dut_chl el_fair job_men trs_ntn ps_lead rel
## 2800 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn rel
## 2610 imp_rlg dut_ill ps_arm job_men el_thr el_brb rel
## 2986 dut_ill ps_arm dut_chl el_fair job_men el_brb rel
## 2887 imp_rlg ps_arm trs_ntn ps_lead men_lead el_brb rel
## 2620 imp_rlg dut_ill ps_arm job_men men_lead el_brb rel
## 2993 dut_ill ps_arm dut_chl el_fair el_thr ps_lead rel
## 3066 dut_ill ps_arm el_fair el_thr trs_ntn men_lead rel
## 3213 ps_arm dut_chl el_fair trs_ntn ps_lead men_lead rel
## 2821 imp_rlg ps_arm dut_chl el_thr trs_ntn men_lead rel
## 2535 imp_rlg dut_ill ps_arm dut_chl job_men el_thr rel
## 2995 dut_ill ps_arm dut_chl el_fair el_thr men_lead rel
## 2860 imp_rlg ps_arm el_fair el_thr ps_lead el_brb rel
## 3075 dut_ill ps_arm el_fair trs_ntn men_lead el_brb rel
## 3005 dut_ill ps_arm dut_chl el_fair ps_lead el_brb rel
## 3006 dut_ill ps_arm dut_chl el_fair men_lead el_brb rel
## 2554 imp_rlg dut_ill ps_arm dut_chl el_thr men_lead rel
## 2609 imp_rlg dut_ill ps_arm job_men el_thr men_lead rel
## 3069 dut_ill ps_arm el_fair el_thr ps_lead men_lead rel
## 2883 imp_rlg ps_arm el_thr trs_ntn ps_lead men_lead rel
## 2630 imp_rlg dut_ill ps_arm el_thr men_lead el_brb rel
## 2878 imp_rlg ps_arm job_men trs_ntn ps_lead men_lead rel
## 2555 imp_rlg dut_ill ps_arm dut_chl el_thr el_brb rel
## 3076 dut_ill ps_arm el_fair ps_lead men_lead el_brb rel
## 2815 imp_rlg ps_arm dut_chl job_men ps_lead el_brb rel
## 2822 imp_rlg ps_arm dut_chl el_thr trs_ntn el_brb rel
## 2880 imp_rlg ps_arm job_men trs_ntn men_lead el_brb rel
## 3050 dut_ill ps_arm el_fair job_men el_thr men_lead rel
## 3196 ps_arm dut_chl el_fair job_men trs_ntn men_lead rel
## 3064 dut_ill ps_arm el_fair el_thr trs_ntn ps_lead rel
## 2831 imp_rlg ps_arm dut_chl ps_lead men_lead el_brb rel
## 3061 dut_ill ps_arm el_fair job_men men_lead el_brb rel
## 3074 dut_ill ps_arm el_fair trs_ntn ps_lead el_brb rel
## 2872 imp_rlg ps_arm job_men el_thr trs_ntn el_brb rel
## 3185 ps_arm dut_chl el_fair job_men el_thr trs_ntn rel
## 3197 ps_arm dut_chl el_fair job_men trs_ntn el_brb rel
## 2811 imp_rlg ps_arm dut_chl job_men trs_ntn men_lead rel
## 2803 imp_rlg ps_arm dut_chl job_men el_thr ps_lead rel
## 2871 imp_rlg ps_arm job_men el_thr trs_ntn men_lead rel
## 3206 ps_arm dut_chl el_fair el_thr trs_ntn men_lead rel
## 3215 ps_arm dut_chl el_fair trs_ntn men_lead el_brb rel
## 3199 ps_arm dut_chl el_fair job_men ps_lead men_lead rel
## 2824 imp_rlg ps_arm dut_chl el_thr ps_lead men_lead rel
## 3051 dut_ill ps_arm el_fair job_men el_thr el_brb rel
## 2544 imp_rlg dut_ill ps_arm dut_chl job_men men_lead rel
## 3188 ps_arm dut_chl el_fair job_men el_thr ps_lead rel
## 3200 ps_arm dut_chl el_fair job_men ps_lead el_brb rel
## 3204 ps_arm dut_chl el_fair el_thr trs_ntn ps_lead rel
## 2885 imp_rlg ps_arm el_thr trs_ntn men_lead el_brb rel
## 3214 ps_arm dut_chl el_fair trs_ntn ps_lead el_brb rel
## 2881 imp_rlg ps_arm job_men ps_lead men_lead el_brb rel
## 2825 imp_rlg ps_arm dut_chl el_thr ps_lead el_brb rel
## 2996 dut_ill ps_arm dut_chl el_fair el_thr el_brb rel
## 2884 imp_rlg ps_arm el_thr trs_ntn ps_lead el_brb rel
## 3216 ps_arm dut_chl el_fair ps_lead men_lead el_brb rel
## 3209 ps_arm dut_chl el_fair el_thr ps_lead men_lead rel
## 3249 ps_arm el_fair job_men trs_ntn ps_lead men_lead rel
## 2875 imp_rlg ps_arm job_men el_thr ps_lead el_brb rel
## 2816 imp_rlg ps_arm dut_chl job_men men_lead el_brb rel
## 3071 dut_ill ps_arm el_fair el_thr men_lead el_brb rel
## 2814 imp_rlg ps_arm dut_chl job_men ps_lead men_lead rel
## 2806 imp_rlg ps_arm dut_chl job_men el_thr el_brb rel
## 2874 imp_rlg ps_arm job_men el_thr ps_lead men_lead rel
## 3067 dut_ill ps_arm el_fair el_thr trs_ntn el_brb rel
## 2826 imp_rlg ps_arm dut_chl el_thr men_lead el_brb rel
## 3201 ps_arm dut_chl el_fair job_men men_lead el_brb rel
## 3190 ps_arm dut_chl el_fair job_men el_thr men_lead rel
## 3250 ps_arm el_fair job_men trs_ntn ps_lead el_brb rel
## 3240 ps_arm el_fair job_men el_thr trs_ntn ps_lead rel
## 3089 dut_ill ps_arm job_men trs_ntn ps_lead el_brb rel
## 3070 dut_ill ps_arm el_fair el_thr ps_lead el_brb rel
## 2886 imp_rlg ps_arm el_thr ps_lead men_lead el_brb rel
## 3022 dut_ill ps_arm dut_chl job_men trs_ntn el_brb rel
## 2805 imp_rlg ps_arm dut_chl job_men el_thr men_lead rel
## 2718 imp_rlg dut_ill el_fair job_men trs_ntn ps_lead rel
## 3079 dut_ill ps_arm job_men el_thr trs_ntn ps_lead rel
## 3039 dut_ill ps_arm dut_chl trs_ntn ps_lead el_brb rel
## 3191 ps_arm dut_chl el_fair job_men el_thr el_brb rel
## 3010 dut_ill ps_arm dut_chl job_men el_thr trs_ntn rel
## 3251 ps_arm el_fair job_men trs_ntn men_lead el_brb rel
## 3040 dut_ill ps_arm dut_chl trs_ntn men_lead el_brb rel
## 3242 ps_arm el_fair job_men el_thr trs_ntn men_lead rel
## 3029 dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead rel
## 3207 ps_arm dut_chl el_fair el_thr trs_ntn el_brb rel
## 2737 imp_rlg dut_ill el_fair trs_ntn ps_lead men_lead rel
## 3097 dut_ill ps_arm trs_ntn ps_lead men_lead el_brb rel
## 3019 dut_ill ps_arm dut_chl job_men trs_ntn ps_lead rel
## 2876 imp_rlg ps_arm job_men el_thr men_lead el_brb rel
## 3082 dut_ill ps_arm job_men el_thr trs_ntn el_brb rel
## 3031 dut_ill ps_arm dut_chl el_thr trs_ntn men_lead rel
## 3211 ps_arm dut_chl el_fair el_thr men_lead el_brb rel
## 3025 dut_ill ps_arm dut_chl job_men ps_lead el_brb rel
## 3090 dut_ill ps_arm job_men trs_ntn men_lead el_brb rel
## 3258 ps_arm el_fair trs_ntn ps_lead men_lead el_brb rel
## 3252 ps_arm el_fair job_men ps_lead men_lead el_brb rel
## 3254 ps_arm el_fair el_thr trs_ntn ps_lead men_lead rel
## 3038 dut_ill ps_arm dut_chl trs_ntn ps_lead men_lead rel
## 2723 imp_rlg dut_ill el_fair job_men ps_lead men_lead rel
## 3245 ps_arm el_fair job_men el_thr ps_lead men_lead rel
## 3093 dut_ill ps_arm el_thr trs_ntn ps_lead men_lead rel
## 3210 ps_arm dut_chl el_fair el_thr ps_lead el_brb rel
## 2647 imp_rlg dut_ill dut_chl el_fair job_men ps_lead rel
## 3032 dut_ill ps_arm dut_chl el_thr trs_ntn el_brb rel
## 3041 dut_ill ps_arm dut_chl ps_lead men_lead el_brb rel
## 3013 dut_ill ps_arm dut_chl job_men el_thr ps_lead rel
## 3243 ps_arm el_fair job_men el_thr trs_ntn el_brb rel
## 3081 dut_ill ps_arm job_men el_thr trs_ntn men_lead rel
## 2668 imp_rlg dut_ill dut_chl el_fair ps_lead men_lead rel
## 2712 imp_rlg dut_ill el_fair job_men el_thr ps_lead rel
## 3088 dut_ill ps_arm job_men trs_ntn ps_lead men_lead rel
## 3229 ps_arm dut_chl job_men trs_ntn ps_lead el_brb rel
## 3085 dut_ill ps_arm job_men el_thr ps_lead el_brb rel
## 3091 dut_ill ps_arm job_men ps_lead men_lead el_brb rel
## 3034 dut_ill ps_arm dut_chl el_thr ps_lead men_lead rel
## 3246 ps_arm el_fair job_men el_thr ps_lead el_brb rel
## 3095 dut_ill ps_arm el_thr trs_ntn men_lead el_brb rel
## 2724 imp_rlg dut_ill el_fair job_men ps_lead el_brb rel
## 2663 imp_rlg dut_ill dut_chl el_fair trs_ntn ps_lead rel
## 3016 dut_ill ps_arm dut_chl job_men el_thr el_brb rel
## 3237 ps_arm dut_chl trs_ntn ps_lead men_lead el_brb rel
## 3021 dut_ill ps_arm dut_chl job_men trs_ntn men_lead rel
## 3035 dut_ill ps_arm dut_chl el_thr ps_lead el_brb rel
## 2733 imp_rlg dut_ill el_fair el_thr ps_lead men_lead rel
## 3094 dut_ill ps_arm el_thr trs_ntn ps_lead el_brb rel
## 3084 dut_ill ps_arm job_men el_thr ps_lead men_lead rel
## 3219 ps_arm dut_chl job_men el_thr trs_ntn ps_lead rel
## 3026 dut_ill ps_arm dut_chl job_men men_lead el_brb rel
## 2900 imp_rlg dut_chl el_fair job_men trs_ntn ps_lead rel
## 2919 imp_rlg dut_chl el_fair trs_ntn ps_lead men_lead rel
## 3036 dut_ill ps_arm dut_chl el_thr men_lead el_brb rel
## 3222 ps_arm dut_chl job_men el_thr trs_ntn el_brb rel
## 2740 imp_rlg dut_ill el_fair ps_lead men_lead el_brb rel
## 3230 ps_arm dut_chl job_men trs_ntn men_lead el_brb rel
## 3096 dut_ill ps_arm el_thr ps_lead men_lead el_brb rel
## 3256 ps_arm el_fair el_thr trs_ntn men_lead el_brb rel
## 3233 ps_arm dut_chl el_thr trs_ntn ps_lead men_lead rel
## 3247 ps_arm el_fair job_men el_thr men_lead el_brb rel
## 3015 dut_ill ps_arm dut_chl job_men el_thr men_lead rel
## 3086 dut_ill ps_arm job_men el_thr men_lead el_brb rel
## 3024 dut_ill ps_arm dut_chl job_men ps_lead men_lead rel
## 2955 imp_rlg el_fair job_men trs_ntn ps_lead men_lead rel
## 3235 ps_arm dut_chl el_thr trs_ntn men_lead el_brb rel
## 3257 ps_arm el_fair el_thr ps_lead men_lead el_brb rel
## 2728 imp_rlg dut_ill el_fair el_thr trs_ntn ps_lead rel
## 3234 ps_arm dut_chl el_thr trs_ntn ps_lead el_brb rel
## 3221 ps_arm dut_chl job_men el_thr trs_ntn men_lead rel
## 2657 imp_rlg dut_ill dut_chl el_fair el_thr ps_lead rel
## 2905 imp_rlg dut_chl el_fair job_men ps_lead men_lead rel
## 3228 ps_arm dut_chl job_men trs_ntn ps_lead men_lead rel
## 3225 ps_arm dut_chl job_men el_thr ps_lead el_brb rel
## 3231 ps_arm dut_chl job_men ps_lead men_lead el_brb rel
## 3264 ps_arm job_men trs_ntn ps_lead men_lead el_brb rel
## 2946 imp_rlg el_fair job_men el_thr trs_ntn ps_lead rel
## 2743 imp_rlg dut_ill job_men el_thr trs_ntn ps_lead rel
## 2894 imp_rlg dut_chl el_fair job_men el_thr ps_lead rel
## 2738 imp_rlg dut_ill el_fair trs_ntn ps_lead el_brb rel
## 2669 imp_rlg dut_ill dut_chl el_fair ps_lead el_brb rel
## 3261 ps_arm job_men el_thr trs_ntn ps_lead el_brb rel
## 2753 imp_rlg dut_ill job_men trs_ntn ps_lead el_brb rel
## 3255 ps_arm el_fair el_thr trs_ntn ps_lead el_brb rel
## 2956 imp_rlg el_fair job_men trs_ntn ps_lead el_brb rel
## 2915 imp_rlg dut_chl el_fair el_thr ps_lead men_lead rel
## 2906 imp_rlg dut_chl el_fair job_men ps_lead el_brb rel
## 3236 ps_arm dut_chl el_thr ps_lead men_lead el_brb rel
## 3260 ps_arm job_men el_thr trs_ntn ps_lead men_lead rel
## 3224 ps_arm dut_chl job_men el_thr ps_lead men_lead rel
## 2720 imp_rlg dut_ill el_fair job_men trs_ntn men_lead rel
## 2922 imp_rlg dut_chl el_fair ps_lead men_lead el_brb rel
## 2757 imp_rlg dut_ill el_thr trs_ntn ps_lead men_lead rel
## 2709 imp_rlg dut_ill el_fair job_men el_thr trs_ntn rel
## 2951 imp_rlg el_fair job_men el_thr ps_lead men_lead rel
## 3262 ps_arm job_men el_thr trs_ntn men_lead el_brb rel
## 2644 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn rel
## 2910 imp_rlg dut_chl el_fair el_thr trs_ntn ps_lead rel
## 3226 ps_arm dut_chl job_men el_thr men_lead el_brb rel
## 2960 imp_rlg el_fair el_thr trs_ntn ps_lead men_lead rel
## 2761 imp_rlg dut_ill trs_ntn ps_lead men_lead el_brb rel
## 2571 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn ps_lead
## 2665 imp_rlg dut_ill dut_chl el_fair trs_ntn men_lead rel
## 2958 imp_rlg el_fair job_men ps_lead men_lead el_brb rel
## 2964 imp_rlg el_fair trs_ntn ps_lead men_lead el_brb rel
## 2752 imp_rlg dut_ill job_men trs_ntn ps_lead men_lead rel
## 2920 imp_rlg dut_chl el_fair trs_ntn ps_lead el_brb rel
## 2683 imp_rlg dut_ill dut_chl job_men trs_ntn ps_lead rel
## 2721 imp_rlg dut_ill el_fair job_men trs_ntn el_brb rel
## 3265 ps_arm el_thr trs_ntn ps_lead men_lead el_brb rel
## 2591 imp_rlg dut_ill ps_arm el_fair trs_ntn ps_lead men_lead
## 2748 imp_rlg dut_ill job_men el_thr ps_lead men_lead rel
## 2677 imp_rlg dut_ill dut_chl job_men el_thr ps_lead rel
## 2693 imp_rlg dut_ill dut_chl el_thr trs_ntn ps_lead rel
## 2749 imp_rlg dut_ill job_men el_thr ps_lead el_brb rel
## 2734 imp_rlg dut_ill el_fair el_thr ps_lead el_brb rel
## 2702 imp_rlg dut_ill dut_chl trs_ntn ps_lead men_lead rel
## 2730 imp_rlg dut_ill el_fair el_thr trs_ntn men_lead rel
## 2755 imp_rlg dut_ill job_men ps_lead men_lead el_brb rel
## 2689 imp_rlg dut_ill dut_chl job_men ps_lead el_brb rel
## 3263 ps_arm job_men el_thr ps_lead men_lead el_brb rel
## 2714 imp_rlg dut_ill el_fair job_men el_thr men_lead rel
## 3110 dut_ill dut_chl el_fair job_men trs_ntn ps_lead rel
## 2649 imp_rlg dut_ill dut_chl el_fair job_men men_lead rel
## 2703 imp_rlg dut_ill dut_chl trs_ntn ps_lead el_brb rel
## 2640 imp_rlg dut_ill dut_chl el_fair job_men el_thr rel
## 2698 imp_rlg dut_ill dut_chl el_thr ps_lead men_lead rel
## 2952 imp_rlg el_fair job_men el_thr ps_lead el_brb rel
## 2511 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn
## 2522 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn men_lead
## 2925 imp_rlg dut_chl job_men el_thr trs_ntn ps_lead rel
## 3165 dut_ill el_fair job_men trs_ntn ps_lead men_lead rel
## 2705 imp_rlg dut_ill dut_chl ps_lead men_lead el_brb rel
## 2935 imp_rlg dut_chl job_men trs_ntn ps_lead el_brb rel
## 2739 imp_rlg dut_ill el_fair trs_ntn men_lead el_brb rel
## 2572 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn men_lead
## 3129 dut_ill dut_chl el_fair trs_ntn ps_lead men_lead rel
## 2725 imp_rlg dut_ill el_fair job_men men_lead el_brb rel
## 3156 dut_ill el_fair job_men el_thr trs_ntn ps_lead rel
## 3104 dut_ill dut_chl el_fair job_men el_thr ps_lead rel
## 3115 dut_ill dut_chl el_fair job_men ps_lead men_lead rel
## 2521 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead
## 2659 imp_rlg dut_ill dut_chl el_fair el_thr men_lead rel
## 2760 imp_rlg dut_ill el_thr ps_lead men_lead el_brb rel
## 2902 imp_rlg dut_chl el_fair job_men trs_ntn men_lead rel
## 2943 imp_rlg dut_chl trs_ntn ps_lead men_lead el_brb rel
## 2939 imp_rlg dut_chl el_thr trs_ntn ps_lead men_lead rel
## 2650 imp_rlg dut_ill dut_chl el_fair job_men el_brb rel
## 3161 dut_ill el_fair job_men el_thr ps_lead men_lead rel
## 3166 dut_ill el_fair job_men trs_ntn ps_lead el_brb rel
## 2758 imp_rlg dut_ill el_thr trs_ntn ps_lead el_brb rel
## 3116 dut_ill dut_chl el_fair job_men ps_lead el_brb rel
## 2891 imp_rlg dut_chl el_fair job_men el_thr trs_ntn rel
## 2970 imp_rlg job_men trs_ntn ps_lead men_lead el_brb rel
## 2670 imp_rlg dut_ill dut_chl el_fair men_lead el_brb rel
## 2715 imp_rlg dut_ill el_fair job_men el_thr el_brb rel
## 3125 dut_ill dut_chl el_fair el_thr ps_lead men_lead rel
## 2966 imp_rlg job_men el_thr trs_ntn ps_lead men_lead rel
## 2654 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn rel
## 2688 imp_rlg dut_ill dut_chl job_men ps_lead men_lead rel
## 2566 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn
## 3168 dut_ill el_fair job_men ps_lead men_lead el_brb rel
## 2916 imp_rlg dut_chl el_fair el_thr ps_lead el_brb rel
## 2963 imp_rlg el_fair el_thr ps_lead men_lead el_brb rel
## 2967 imp_rlg job_men el_thr trs_ntn ps_lead el_brb rel
## 2912 imp_rlg dut_chl el_fair el_thr trs_ntn men_lead rel
## 2903 imp_rlg dut_chl el_fair job_men trs_ntn el_brb rel
## 2934 imp_rlg dut_chl job_men trs_ntn ps_lead men_lead rel
## 2699 imp_rlg dut_ill dut_chl el_thr ps_lead el_brb rel
## 3132 dut_ill dut_chl el_fair ps_lead men_lead el_brb rel
## 3170 dut_ill el_fair el_thr trs_ntn ps_lead men_lead rel
## 2573 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn el_brb
## 2948 imp_rlg el_fair job_men el_thr trs_ntn men_lead rel
## 2921 imp_rlg dut_chl el_fair trs_ntn men_lead el_brb rel
## 2937 imp_rlg dut_chl job_men ps_lead men_lead el_brb rel
## 3162 dut_ill el_fair job_men el_thr ps_lead el_brb rel
## 2931 imp_rlg dut_chl job_men el_thr ps_lead el_brb rel
## 2666 imp_rlg dut_ill dut_chl el_fair trs_ntn el_brb rel
## 3277 dut_chl el_fair job_men trs_ntn ps_lead men_lead rel
## 2930 imp_rlg dut_chl job_men el_thr ps_lead men_lead rel
## 2745 imp_rlg dut_ill job_men el_thr trs_ntn men_lead rel
## 2582 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn men_lead
## 2767 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn ps_lead
## 2735 imp_rlg dut_ill el_fair el_thr men_lead el_brb rel
## 2512 imp_rlg dut_ill ps_arm dut_chl el_fair job_men ps_lead
## 2957 imp_rlg el_fair job_men trs_ntn men_lead el_brb rel
## 3268 dut_chl el_fair job_men el_thr trs_ntn ps_lead rel
## 3174 dut_ill el_fair trs_ntn ps_lead men_lead el_brb rel
## 2787 imp_rlg ps_arm dut_chl el_fair trs_ntn ps_lead men_lead
## 2896 imp_rlg dut_chl el_fair job_men el_thr men_lead rel
## 2674 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn rel
## 3120 dut_ill dut_chl el_fair el_thr trs_ntn ps_lead rel
## 2746 imp_rlg dut_ill job_men el_thr trs_ntn el_brb rel
## 2575 imp_rlg dut_ill ps_arm el_fair job_men ps_lead men_lead
## 2525 imp_rlg dut_ill ps_arm dut_chl el_fair ps_lead men_lead
## 2754 imp_rlg dut_ill job_men trs_ntn men_lead el_brb rel
## 2940 imp_rlg dut_chl el_thr trs_ntn ps_lead el_brb rel
## 2594 imp_rlg dut_ill ps_arm el_fair trs_ntn men_lead el_brb
## 3278 dut_chl el_fair job_men trs_ntn ps_lead el_brb rel
## 2907 imp_rlg dut_chl el_fair job_men men_lead el_brb rel
## 2942 imp_rlg dut_chl el_thr ps_lead men_lead el_brb rel
## 2686 imp_rlg dut_ill dut_chl job_men trs_ntn el_brb rel
## 2971 imp_rlg el_thr trs_ntn ps_lead men_lead el_brb rel
## 2695 imp_rlg dut_ill dut_chl el_thr trs_ntn men_lead rel
## 3130 dut_ill dut_chl el_fair trs_ntn ps_lead el_brb rel
## 3273 dut_chl el_fair job_men el_thr ps_lead men_lead rel
## 2969 imp_rlg job_men el_thr ps_lead men_lead el_brb rel
## 3282 dut_chl el_fair el_thr trs_ntn ps_lead men_lead rel
## 2516 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn
## 3135 dut_ill dut_chl job_men el_thr trs_ntn ps_lead rel
## 2704 imp_rlg dut_ill dut_chl trs_ntn men_lead el_brb rel
## 3280 dut_chl el_fair job_men ps_lead men_lead el_brb rel
## 2961 imp_rlg el_fair el_thr trs_ntn ps_lead el_brb rel
## 2581 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn ps_lead
## 3286 dut_chl el_fair trs_ntn ps_lead men_lead el_brb rel
## 2949 imp_rlg el_fair job_men el_thr trs_ntn el_brb rel
## 3145 dut_ill dut_chl job_men trs_ntn ps_lead el_brb rel
## 2567 imp_rlg dut_ill ps_arm el_fair job_men el_thr ps_lead
## 3101 dut_ill dut_chl el_fair job_men el_thr trs_ntn rel
## 2768 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn men_lead
## 3173 dut_ill el_fair el_thr ps_lead men_lead el_brb rel
## 2897 imp_rlg dut_chl el_fair job_men el_thr el_brb rel
## 2759 imp_rlg dut_ill el_thr trs_ntn men_lead el_brb rel
## 3112 dut_ill dut_chl el_fair job_men trs_ntn men_lead rel
## 2523 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn el_brb
## 3177 dut_ill job_men el_thr trs_ntn ps_lead el_brb rel
## 2731 imp_rlg dut_ill el_fair el_thr trs_ntn el_brb rel
## 3176 dut_ill job_men el_thr trs_ntn ps_lead men_lead rel
## 2592 imp_rlg dut_ill ps_arm el_fair trs_ntn ps_lead el_brb
## 2660 imp_rlg dut_ill dut_chl el_fair el_thr el_brb rel
## 3158 dut_ill el_fair job_men el_thr trs_ntn men_lead rel
## 2576 imp_rlg dut_ill ps_arm el_fair job_men ps_lead el_brb
## 3180 dut_ill job_men trs_ntn ps_lead men_lead el_brb rel
## 2842 imp_rlg ps_arm el_fair job_men trs_ntn ps_lead men_lead
## 3274 dut_chl el_fair job_men el_thr ps_lead el_brb rel
## 3149 dut_ill dut_chl el_thr trs_ntn ps_lead men_lead rel
## 2513 imp_rlg dut_ill ps_arm dut_chl el_fair job_men men_lead
## 3126 dut_ill dut_chl el_fair el_thr ps_lead el_brb rel
## 2750 imp_rlg dut_ill job_men el_thr men_lead el_brb rel
## 3295 el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 3113 dut_ill dut_chl el_fair job_men trs_ntn el_brb rel
## 2680 imp_rlg dut_ill dut_chl job_men el_thr el_brb rel
## 2917 imp_rlg dut_chl el_fair el_thr men_lead el_brb rel
## 3153 dut_ill dut_chl trs_ntn ps_lead men_lead el_brb rel
## 3122 dut_ill dut_chl el_fair el_thr trs_ntn men_lead rel
## 2685 imp_rlg dut_ill dut_chl job_men trs_ntn men_lead rel
## 3106 dut_ill dut_chl el_fair job_men el_thr men_lead rel
## 3141 dut_ill dut_chl job_men el_thr ps_lead el_brb rel
## 2679 imp_rlg dut_ill dut_chl job_men el_thr men_lead rel
## 3299 el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 3167 dut_ill el_fair job_men trs_ntn men_lead el_brb rel
## 2953 imp_rlg el_fair job_men el_thr men_lead el_brb rel
## 2585 imp_rlg dut_ill ps_arm el_fair el_thr ps_lead men_lead
## 2690 imp_rlg dut_ill dut_chl job_men men_lead el_brb rel
## 2936 imp_rlg dut_chl job_men trs_ntn men_lead el_brb rel
## 2927 imp_rlg dut_chl job_men el_thr trs_ntn men_lead rel
## 2928 imp_rlg dut_chl job_men el_thr trs_ntn el_brb rel
## 3147 dut_ill dut_chl job_men ps_lead men_lead el_brb rel
## 3140 dut_ill dut_chl job_men el_thr ps_lead men_lead rel
## 2762 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn
## 2597 imp_rlg dut_ill ps_arm el_fair ps_lead men_lead el_brb
## 3117 dut_ill dut_chl el_fair job_men men_lead el_brb rel
## 3179 dut_ill job_men el_thr ps_lead men_lead el_brb rel
## 2696 imp_rlg dut_ill dut_chl el_thr trs_ntn el_brb rel
## 2510 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr
## 3131 dut_ill dut_chl el_fair trs_ntn men_lead el_brb rel
## 3285 dut_chl el_fair el_thr ps_lead men_lead el_brb rel
## 2962 imp_rlg el_fair el_thr trs_ntn men_lead el_brb rel
## 2778 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn men_lead
## 2700 imp_rlg dut_ill dut_chl el_thr men_lead el_brb rel
## 2769 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn el_brb
## 3159 dut_ill el_fair job_men el_thr trs_ntn el_brb rel
## 2568 imp_rlg dut_ill ps_arm el_fair job_men el_thr men_lead
## 3144 dut_ill dut_chl job_men trs_ntn ps_lead men_lead rel
## 2913 imp_rlg dut_chl el_fair el_thr trs_ntn el_brb rel
## 2790 imp_rlg ps_arm dut_chl el_fair trs_ntn men_lead el_brb
## 3107 dut_ill dut_chl el_fair job_men el_thr el_brb rel
## 3152 dut_ill dut_chl el_thr ps_lead men_lead el_brb rel
## 2518 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr men_lead
## 2517 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr ps_lead
## 3181 dut_ill el_thr trs_ntn ps_lead men_lead el_brb rel
## 3296 el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 2514 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_brb
## 2941 imp_rlg dut_chl el_thr trs_ntn men_lead el_brb rel
## 2832 imp_rlg ps_arm el_fair job_men el_thr trs_ntn ps_lead
## 2601 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn ps_lead
## 2968 imp_rlg job_men el_thr trs_ntn men_lead el_brb rel
## 2578 imp_rlg dut_ill ps_arm el_fair job_men men_lead el_brb
## 3289 dut_chl job_men el_thr trs_ntn ps_lead el_brb rel
## 3171 dut_ill el_fair el_thr trs_ntn ps_lead el_brb rel
## 3292 dut_chl job_men trs_ntn ps_lead men_lead el_brb rel
## 3163 dut_ill el_fair job_men el_thr men_lead el_brb rel
## 3270 dut_chl el_fair job_men el_thr trs_ntn men_lead rel
## 3150 dut_ill dut_chl el_thr trs_ntn ps_lead el_brb rel
## 2528 imp_rlg dut_ill ps_arm dut_chl el_fair men_lead el_brb
## 2612 imp_rlg dut_ill ps_arm job_men trs_ntn ps_lead el_brb
## 2843 imp_rlg ps_arm el_fair job_men trs_ntn ps_lead el_brb
## 3298 el_fair job_men el_thr ps_lead men_lead el_brb rel
## 3288 dut_chl job_men el_thr trs_ntn ps_lead men_lead rel
## 2526 imp_rlg dut_ill ps_arm dut_chl el_fair ps_lead el_brb
## 2777 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn ps_lead
## 2771 imp_rlg ps_arm dut_chl el_fair job_men ps_lead men_lead
## 3279 dut_chl el_fair job_men trs_ntn men_lead el_brb rel
## 2788 imp_rlg ps_arm dut_chl el_fair trs_ntn ps_lead el_brb
## 3127 dut_ill dut_chl el_fair el_thr men_lead el_brb rel
## 2536 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn ps_lead
## 3283 dut_chl el_fair el_thr trs_ntn ps_lead el_brb rel
## 2611 imp_rlg dut_ill ps_arm job_men trs_ntn ps_lead men_lead
## 2932 imp_rlg dut_chl job_men el_thr men_lead el_brb rel
## 2556 imp_rlg dut_ill ps_arm dut_chl trs_ntn ps_lead men_lead
## 2833 imp_rlg ps_arm el_fair job_men el_thr trs_ntn men_lead
## 2621 imp_rlg dut_ill ps_arm el_thr trs_ntn ps_lead men_lead
## 3293 dut_chl el_thr trs_ntn ps_lead men_lead el_brb rel
## 3172 dut_ill el_fair el_thr trs_ntn men_lead el_brb rel
## 2569 imp_rlg dut_ill ps_arm el_fair job_men el_thr el_brb
## 3138 dut_ill dut_chl job_men el_thr trs_ntn el_brb rel
## 2631 imp_rlg dut_ill ps_arm trs_ntn ps_lead men_lead el_brb
## 2583 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn el_brb
## 2845 imp_rlg ps_arm el_fair job_men trs_ntn men_lead el_brb
## 3271 dut_chl el_fair job_men el_thr trs_ntn el_brb rel
## 3291 dut_chl job_men el_thr ps_lead men_lead el_brb rel
## 2852 imp_rlg ps_arm el_fair el_thr trs_ntn ps_lead men_lead
## 2531 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn
## 3137 dut_ill dut_chl job_men el_thr trs_ntn men_lead rel
## 2862 imp_rlg ps_arm el_fair trs_ntn ps_lead men_lead el_brb
## 3146 dut_ill dut_chl job_men trs_ntn men_lead el_brb rel
## 2538 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn el_brb
## 2546 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead
## 2763 imp_rlg ps_arm dut_chl el_fair job_men el_thr ps_lead
## 3178 dut_ill job_men el_thr trs_ntn men_lead el_brb rel
## 2602 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn men_lead
## 3301 job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 2614 imp_rlg dut_ill ps_arm job_men trs_ntn men_lead el_brb
## 3300 el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 2547 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn men_lead
## 2772 imp_rlg ps_arm dut_chl el_fair job_men ps_lead el_brb
## 2557 imp_rlg dut_ill ps_arm dut_chl trs_ntn ps_lead el_brb
## 3275 dut_chl el_fair job_men el_thr men_lead el_brb rel
## 2559 imp_rlg dut_ill ps_arm dut_chl trs_ntn men_lead el_brb
## 3123 dut_ill dut_chl el_fair el_thr trs_ntn el_brb rel
## 2781 imp_rlg ps_arm dut_chl el_fair el_thr ps_lead men_lead
## 2603 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn el_brb
## 2716 imp_rlg dut_ill el_fair job_men trs_ntn ps_lead men_lead
## 3151 dut_ill dut_chl el_thr trs_ntn men_lead el_brb rel
## 3284 dut_chl el_fair el_thr trs_ntn men_lead el_brb rel
## 2793 imp_rlg ps_arm dut_chl el_fair ps_lead men_lead el_brb
## 2588 imp_rlg dut_ill ps_arm el_fair el_thr men_lead el_brb
## 3142 dut_ill dut_chl job_men el_thr men_lead el_brb rel
## 2641 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn ps_lead
## 2537 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn men_lead
## 2834 imp_rlg ps_arm el_fair job_men el_thr trs_ntn el_brb
## 3297 el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 2661 imp_rlg dut_ill dut_chl el_fair trs_ntn ps_lead men_lead
## 2706 imp_rlg dut_ill el_fair job_men el_thr trs_ntn ps_lead
## 2586 imp_rlg dut_ill ps_arm el_fair el_thr ps_lead el_brb
## 2764 imp_rlg ps_arm dut_chl el_fair job_men el_thr men_lead
## 2808 imp_rlg ps_arm dut_chl job_men trs_ntn ps_lead el_brb
## 2624 imp_rlg dut_ill ps_arm el_thr trs_ntn men_lead el_brb
## 2797 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn ps_lead
## 3290 dut_chl job_men el_thr trs_ntn men_lead el_brb rel
## 2519 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr el_brb
## 2836 imp_rlg ps_arm el_fair job_men el_thr ps_lead men_lead
## 2774 imp_rlg ps_arm dut_chl el_fair job_men men_lead el_brb
## 2848 imp_rlg ps_arm el_fair job_men ps_lead men_lead el_brb
## 2779 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn el_brb
## 2827 imp_rlg ps_arm dut_chl trs_ntn ps_lead men_lead el_brb
## 2622 imp_rlg dut_ill ps_arm el_thr trs_ntn ps_lead el_brb
## 2717 imp_rlg dut_ill el_fair job_men trs_ntn ps_lead el_brb
## 2977 dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead
## 2817 imp_rlg ps_arm dut_chl el_thr trs_ntn ps_lead men_lead
## 2548 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn el_brb
## 2532 imp_rlg dut_ill ps_arm dut_chl job_men el_thr ps_lead
## 2807 imp_rlg ps_arm dut_chl job_men trs_ntn ps_lead men_lead
## 2541 imp_rlg dut_ill ps_arm dut_chl job_men ps_lead el_brb
## 2605 imp_rlg dut_ill ps_arm job_men el_thr ps_lead men_lead
## 2617 imp_rlg dut_ill ps_arm job_men ps_lead men_lead el_brb
## 2726 imp_rlg dut_ill el_fair el_thr trs_ntn ps_lead men_lead
## 2855 imp_rlg ps_arm el_fair el_thr trs_ntn men_lead el_brb
## 2997 dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead men_lead
## 2606 imp_rlg dut_ill ps_arm job_men el_thr ps_lead el_brb
## 2550 imp_rlg dut_ill ps_arm dut_chl el_thr ps_lead men_lead
## 2978 dut_ill ps_arm dut_chl el_fair job_men trs_ntn men_lead
## 2765 imp_rlg ps_arm dut_chl el_fair job_men el_thr el_brb
## 2645 imp_rlg dut_ill dut_chl el_fair job_men ps_lead men_lead
## 2562 imp_rlg dut_ill ps_arm dut_chl ps_lead men_lead el_brb
## 2810 imp_rlg ps_arm dut_chl job_men trs_ntn men_lead el_brb
## 2877 imp_rlg ps_arm job_men trs_ntn ps_lead men_lead el_brb
## 2798 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn men_lead
## 3052 dut_ill ps_arm el_fair job_men trs_ntn ps_lead men_lead
## 2867 imp_rlg ps_arm job_men el_thr trs_ntn ps_lead men_lead
## 2898 imp_rlg dut_chl el_fair job_men trs_ntn ps_lead men_lead
## 2736 imp_rlg dut_ill el_fair trs_ntn ps_lead men_lead el_brb
## 2837 imp_rlg ps_arm el_fair job_men el_thr ps_lead el_brb
## 2799 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn el_brb
## 2972 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn
## 2540 imp_rlg dut_ill ps_arm dut_chl job_men ps_lead men_lead
## 2710 imp_rlg dut_ill el_fair job_men el_thr ps_lead men_lead
## 2784 imp_rlg ps_arm dut_chl el_fair el_thr men_lead el_brb
## 2637 imp_rlg dut_ill dut_chl el_fair job_men el_thr ps_lead
## 2868 imp_rlg ps_arm job_men el_thr trs_ntn ps_lead el_brb
## 3042 dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead
## 2979 dut_ill ps_arm dut_chl el_fair job_men trs_ntn el_brb
## 2722 imp_rlg dut_ill el_fair job_men ps_lead men_lead el_brb
## 2820 imp_rlg ps_arm dut_chl el_thr trs_ntn men_lead el_brb
## 2627 imp_rlg dut_ill ps_arm el_thr ps_lead men_lead el_brb
## 2782 imp_rlg ps_arm dut_chl el_fair el_thr ps_lead el_brb
## 2888 imp_rlg dut_chl el_fair job_men el_thr trs_ntn ps_lead
## 2988 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn men_lead
## 2533 imp_rlg dut_ill ps_arm dut_chl job_men el_thr men_lead
## 2655 imp_rlg dut_ill dut_chl el_fair el_thr ps_lead men_lead
## 2543 imp_rlg dut_ill ps_arm dut_chl job_men men_lead el_brb
## 2646 imp_rlg dut_ill dut_chl el_fair job_men ps_lead el_brb
## 3053 dut_ill ps_arm el_fair job_men trs_ntn ps_lead el_brb
## 2534 imp_rlg dut_ill ps_arm dut_chl job_men el_thr el_brb
## 2651 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn ps_lead
## 2818 imp_rlg ps_arm dut_chl el_thr trs_ntn ps_lead el_brb
## 3043 dut_ill ps_arm el_fair job_men el_thr trs_ntn men_lead
## 2981 dut_ill ps_arm dut_chl el_fair job_men ps_lead men_lead
## 2839 imp_rlg ps_arm el_fair job_men el_thr men_lead el_brb
## 2608 imp_rlg dut_ill ps_arm job_men el_thr men_lead el_brb
## 2551 imp_rlg dut_ill ps_arm dut_chl el_thr ps_lead el_brb
## 3000 dut_ill ps_arm dut_chl el_fair trs_ntn men_lead el_brb
## 2853 imp_rlg ps_arm el_fair el_thr trs_ntn ps_lead el_brb
## 2642 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn men_lead
## 2899 imp_rlg dut_chl el_fair job_men trs_ntn ps_lead el_brb
## 2908 imp_rlg dut_chl el_fair el_thr trs_ntn ps_lead men_lead
## 2858 imp_rlg ps_arm el_fair el_thr ps_lead men_lead el_brb
## 3055 dut_ill ps_arm el_fair job_men trs_ntn men_lead el_brb
## 2741 imp_rlg dut_ill job_men el_thr trs_ntn ps_lead men_lead
## 2667 imp_rlg dut_ill dut_chl el_fair ps_lead men_lead el_brb
## 2671 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn ps_lead
## 2870 imp_rlg ps_arm job_men el_thr trs_ntn men_lead el_brb
## 2707 imp_rlg dut_ill el_fair job_men el_thr trs_ntn men_lead
## 2711 imp_rlg dut_ill el_fair job_men el_thr ps_lead el_brb
## 2973 dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead
## 2553 imp_rlg dut_ill ps_arm dut_chl el_thr men_lead el_brb
## 2662 imp_rlg dut_ill dut_chl el_fair trs_ntn ps_lead el_brb
## 2944 imp_rlg el_fair job_men el_thr trs_ntn ps_lead men_lead
## 2636 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn
## 2918 imp_rlg dut_chl el_fair trs_ntn ps_lead men_lead el_brb
## 2882 imp_rlg ps_arm el_thr trs_ntn ps_lead men_lead el_brb
## 2751 imp_rlg dut_ill job_men trs_ntn ps_lead men_lead el_brb
## 3192 ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead
## 2987 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead
## 2982 dut_ill ps_arm dut_chl el_fair job_men ps_lead el_brb
## 2682 imp_rlg dut_ill dut_chl job_men trs_ntn ps_lead el_brb
## 2742 imp_rlg dut_ill job_men el_thr trs_ntn ps_lead el_brb
## 3062 dut_ill ps_arm el_fair el_thr trs_ntn ps_lead men_lead
## 2813 imp_rlg ps_arm dut_chl job_men ps_lead men_lead el_brb
## 2691 imp_rlg dut_ill dut_chl el_thr trs_ntn ps_lead men_lead
## 2954 imp_rlg el_fair job_men trs_ntn ps_lead men_lead el_brb
## 2719 imp_rlg dut_ill el_fair job_men trs_ntn men_lead el_brb
## 3044 dut_ill ps_arm el_fair job_men el_thr trs_ntn el_brb
## 2801 imp_rlg ps_arm dut_chl job_men el_thr ps_lead men_lead
## 3072 dut_ill ps_arm el_fair trs_ntn ps_lead men_lead el_brb
## 2652 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn men_lead
## 2998 dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead el_brb
## 2991 dut_ill ps_arm dut_chl el_fair el_thr ps_lead men_lead
## 2802 imp_rlg ps_arm dut_chl job_men el_thr ps_lead el_brb
## 3046 dut_ill ps_arm el_fair job_men el_thr ps_lead men_lead
## 2974 dut_ill ps_arm dut_chl el_fair job_men el_thr men_lead
## 2681 imp_rlg dut_ill dut_chl job_men trs_ntn ps_lead men_lead
## 2643 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn el_brb
## 3182 ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead
## 2701 imp_rlg dut_ill dut_chl trs_ntn ps_lead men_lead el_brb
## 3003 dut_ill ps_arm dut_chl el_fair ps_lead men_lead el_brb
## 2892 imp_rlg dut_chl el_fair job_men el_thr ps_lead men_lead
## 3058 dut_ill ps_arm el_fair job_men ps_lead men_lead el_brb
## 2984 dut_ill ps_arm dut_chl el_fair job_men men_lead el_brb
## 2732 imp_rlg dut_ill el_fair el_thr ps_lead men_lead el_brb
## 3193 ps_arm dut_chl el_fair job_men trs_ntn ps_lead el_brb
## 3183 ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead
## 2664 imp_rlg dut_ill dut_chl el_fair trs_ntn men_lead el_brb
## 2708 imp_rlg dut_ill el_fair job_men el_thr trs_ntn el_brb
## 2904 imp_rlg dut_chl el_fair job_men ps_lead men_lead el_brb
## 2823 imp_rlg ps_arm dut_chl el_thr ps_lead men_lead el_brb
## 3195 ps_arm dut_chl el_fair job_men trs_ntn men_lead el_brb
## 2756 imp_rlg dut_ill el_thr trs_ntn ps_lead men_lead el_brb
## 3007 dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead
## 3202 ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead
## 2945 imp_rlg el_fair job_men el_thr trs_ntn ps_lead el_brb
## 2975 dut_ill ps_arm dut_chl el_fair job_men el_thr el_brb
## 3018 dut_ill ps_arm dut_chl job_men trs_ntn ps_lead el_brb
## 3047 dut_ill ps_arm el_fair job_men el_thr ps_lead el_brb
## 3212 ps_arm dut_chl el_fair trs_ntn ps_lead men_lead el_brb
## 2727 imp_rlg dut_ill el_fair el_thr trs_ntn ps_lead el_brb
## 2638 imp_rlg dut_ill dut_chl el_fair job_men el_thr men_lead
## 2873 imp_rlg ps_arm job_men el_thr ps_lead men_lead el_brb
## 2889 imp_rlg dut_chl el_fair job_men el_thr trs_ntn men_lead
## 2923 imp_rlg dut_chl job_men el_thr trs_ntn ps_lead men_lead
## 2989 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn el_brb
## 3065 dut_ill ps_arm el_fair el_thr trs_ntn men_lead el_brb
## 2804 imp_rlg ps_arm dut_chl job_men el_thr men_lead el_brb
## 2933 imp_rlg dut_chl job_men trs_ntn ps_lead men_lead el_brb
## 2675 imp_rlg dut_ill dut_chl job_men el_thr ps_lead men_lead
## 2893 imp_rlg dut_chl el_fair job_men el_thr ps_lead el_brb
## 3184 ps_arm dut_chl el_fair job_men el_thr trs_ntn el_brb
## 3077 dut_ill ps_arm job_men el_thr trs_ntn ps_lead men_lead
## 3027 dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead men_lead
## 2901 imp_rlg dut_chl el_fair job_men trs_ntn men_lead el_brb
## 3049 dut_ill ps_arm el_fair job_men el_thr men_lead el_brb
## 2648 imp_rlg dut_ill dut_chl el_fair job_men men_lead el_brb
## 2656 imp_rlg dut_ill dut_chl el_fair el_thr ps_lead el_brb
## 3008 dut_ill ps_arm dut_chl job_men el_thr trs_ntn men_lead
## 2924 imp_rlg dut_chl job_men el_thr trs_ntn ps_lead el_brb
## 3087 dut_ill ps_arm job_men trs_ntn ps_lead men_lead el_brb
## 3009 dut_ill ps_arm dut_chl job_men el_thr trs_ntn el_brb
## 2747 imp_rlg dut_ill job_men el_thr ps_lead men_lead el_brb
## 2687 imp_rlg dut_ill dut_chl job_men ps_lead men_lead el_brb
## 3020 dut_ill ps_arm dut_chl job_men trs_ntn men_lead el_brb
## 2729 imp_rlg dut_ill el_fair el_thr trs_ntn men_lead el_brb
## 2994 dut_ill ps_arm dut_chl el_fair el_thr men_lead el_brb
## 2676 imp_rlg dut_ill dut_chl job_men el_thr ps_lead el_brb
## 3037 dut_ill ps_arm dut_chl trs_ntn ps_lead men_lead el_brb
## 3078 dut_ill ps_arm job_men el_thr trs_ntn ps_lead el_brb
## 2692 imp_rlg dut_ill dut_chl el_thr trs_ntn ps_lead el_brb
## 3017 dut_ill ps_arm dut_chl job_men trs_ntn ps_lead men_lead
## 3108 dut_ill dut_chl el_fair job_men trs_ntn ps_lead men_lead
## 2672 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn men_lead
## 3186 ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead
## 2713 imp_rlg dut_ill el_fair job_men el_thr men_lead el_brb
## 3098 dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead
## 3198 ps_arm dut_chl el_fair job_men ps_lead men_lead el_brb
## 2914 imp_rlg dut_chl el_fair el_thr ps_lead men_lead el_brb
## 3238 ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead
## 2959 imp_rlg el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 2744 imp_rlg dut_ill job_men el_thr trs_ntn men_lead el_brb
## 2639 imp_rlg dut_ill dut_chl el_fair job_men el_thr el_brb
## 2950 imp_rlg el_fair job_men el_thr ps_lead men_lead el_brb
## 3205 ps_arm dut_chl el_fair el_thr trs_ntn men_lead el_brb
## 3248 ps_arm el_fair job_men trs_ntn ps_lead men_lead el_brb
## 2673 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn el_brb
## 2938 imp_rlg dut_chl el_thr trs_ntn ps_lead men_lead el_brb
## 2684 imp_rlg dut_ill dut_chl job_men trs_ntn men_lead el_brb
## 3080 dut_ill ps_arm job_men el_thr trs_ntn men_lead el_brb
## 3068 dut_ill ps_arm el_fair el_thr ps_lead men_lead el_brb
## 2992 dut_ill ps_arm dut_chl el_fair el_thr ps_lead el_brb
## 2909 imp_rlg dut_chl el_fair el_thr trs_ntn ps_lead el_brb
## 2697 imp_rlg dut_ill dut_chl el_thr ps_lead men_lead el_brb
## 2965 imp_rlg job_men el_thr trs_ntn ps_lead men_lead el_brb
## 2890 imp_rlg dut_chl el_fair job_men el_thr trs_ntn el_brb
## 3030 dut_ill ps_arm dut_chl el_thr trs_ntn men_lead el_brb
## 3154 dut_ill el_fair job_men el_thr trs_ntn ps_lead men_lead
## 3109 dut_ill dut_chl el_fair job_men trs_ntn ps_lead el_brb
## 3063 dut_ill ps_arm el_fair el_thr trs_ntn ps_lead el_brb
## 3187 ps_arm dut_chl el_fair job_men el_thr ps_lead el_brb
## 2658 imp_rlg dut_ill dut_chl el_fair el_thr men_lead el_brb
## 3118 dut_ill dut_chl el_fair el_thr trs_ntn ps_lead men_lead
## 3164 dut_ill el_fair job_men trs_ntn ps_lead men_lead el_brb
## 3028 dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead el_brb
## 2694 imp_rlg dut_ill dut_chl el_thr trs_ntn men_lead el_brb
## 3012 dut_ill ps_arm dut_chl job_men el_thr ps_lead el_brb
## 2911 imp_rlg dut_chl el_fair el_thr trs_ntn men_lead el_brb
## 3023 dut_ill ps_arm dut_chl job_men ps_lead men_lead el_brb
## 2947 imp_rlg el_fair job_men el_thr trs_ntn men_lead el_brb
## 3011 dut_ill ps_arm dut_chl job_men el_thr ps_lead men_lead
## 2653 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn el_brb
## 3102 dut_ill dut_chl el_fair job_men el_thr ps_lead men_lead
## 3092 dut_ill ps_arm el_thr trs_ntn ps_lead men_lead el_brb
## 3227 ps_arm dut_chl job_men trs_ntn ps_lead men_lead el_brb
## 3239 ps_arm el_fair job_men el_thr trs_ntn ps_lead el_brb
## 3217 ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead
## 3128 dut_ill dut_chl el_fair trs_ntn ps_lead men_lead el_brb
## 3218 ps_arm dut_chl job_men el_thr trs_ntn ps_lead el_brb
## 3189 ps_arm dut_chl el_fair job_men el_thr men_lead el_brb
## 3241 ps_arm el_fair job_men el_thr trs_ntn men_lead el_brb
## 3203 ps_arm dut_chl el_fair el_thr trs_ntn ps_lead el_brb
## 3114 dut_ill dut_chl el_fair job_men ps_lead men_lead el_brb
## 3155 dut_ill el_fair job_men el_thr trs_ntn ps_lead el_brb
## 2929 imp_rlg dut_chl job_men el_thr ps_lead men_lead el_brb
## 3208 ps_arm dut_chl el_fair el_thr ps_lead men_lead el_brb
## 3083 dut_ill ps_arm job_men el_thr ps_lead men_lead el_brb
## 3099 dut_ill dut_chl el_fair job_men el_thr trs_ntn men_lead
## 3220 ps_arm dut_chl job_men el_thr trs_ntn men_lead el_brb
## 3014 dut_ill ps_arm dut_chl job_men el_thr men_lead el_brb
## 3033 dut_ill ps_arm dut_chl el_thr ps_lead men_lead el_brb
## 3266 dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead
## 2926 imp_rlg dut_chl job_men el_thr trs_ntn men_lead el_brb
## 2895 imp_rlg dut_chl el_fair job_men el_thr men_lead el_brb
## 3103 dut_ill dut_chl el_fair job_men el_thr ps_lead el_brb
## 3232 ps_arm dut_chl el_thr trs_ntn ps_lead men_lead el_brb
## 3276 dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb
## 3133 dut_ill dut_chl job_men el_thr trs_ntn ps_lead men_lead
## 2678 imp_rlg dut_ill dut_chl job_men el_thr men_lead el_brb
## 3111 dut_ill dut_chl el_fair job_men trs_ntn men_lead el_brb
## 3160 dut_ill el_fair job_men el_thr ps_lead men_lead el_brb
## 3134 dut_ill dut_chl job_men el_thr trs_ntn ps_lead el_brb
## 3143 dut_ill dut_chl job_men trs_ntn ps_lead men_lead el_brb
## 3244 ps_arm el_fair job_men el_thr ps_lead men_lead el_brb
## 3100 dut_ill dut_chl el_fair job_men el_thr trs_ntn el_brb
## 3175 dut_ill job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3124 dut_ill dut_chl el_fair el_thr ps_lead men_lead el_brb
## 3267 dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb
## 3253 ps_arm el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3169 dut_ill el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3259 ps_arm job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3157 dut_ill el_fair job_men el_thr trs_ntn men_lead el_brb
## 3223 ps_arm dut_chl job_men el_thr ps_lead men_lead el_brb
## 3148 dut_ill dut_chl el_thr trs_ntn ps_lead men_lead el_brb
## 3119 dut_ill dut_chl el_fair el_thr trs_ntn ps_lead el_brb
## 3121 dut_ill dut_chl el_fair el_thr trs_ntn men_lead el_brb
## 3105 dut_ill dut_chl el_fair job_men el_thr men_lead el_brb
## 3281 dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3139 dut_ill dut_chl job_men el_thr ps_lead men_lead el_brb
## 3272 dut_chl el_fair job_men el_thr ps_lead men_lead el_brb
## 3136 dut_ill dut_chl job_men el_thr trs_ntn men_lead el_brb
## 3287 dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3294 el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3269 dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb
## 3384 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn ps_lead rel
## 3403 imp_rlg dut_ill ps_arm el_fair trs_ntn ps_lead men_lead rel
## 3329 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead rel
## 3331 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn men_lead rel
## 3310 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn rel
## 3386 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn men_lead rel
## 3334 imp_rlg dut_ill ps_arm dut_chl el_fair ps_lead men_lead rel
## 3313 imp_rlg dut_ill ps_arm dut_chl el_fair job_men ps_lead rel
## 3375 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn rel
## 3394 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn ps_lead rel
## 3396 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn men_lead rel
## 3543 imp_rlg ps_arm dut_chl el_fair trs_ntn ps_lead men_lead rel
## 3389 imp_rlg dut_ill ps_arm el_fair job_men ps_lead men_lead rel
## 3387 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn el_brb rel
## 3320 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn rel
## 3404 imp_rlg dut_ill ps_arm el_fair trs_ntn ps_lead el_brb rel
## 3405 imp_rlg dut_ill ps_arm el_fair trs_ntn men_lead el_brb rel
## 3524 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn ps_lead rel
## 3332 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn el_brb rel
## 3378 imp_rlg dut_ill ps_arm el_fair job_men el_thr ps_lead rel
## 3390 imp_rlg dut_ill ps_arm el_fair job_men ps_lead el_brb rel
## 3399 imp_rlg dut_ill ps_arm el_fair el_thr ps_lead men_lead rel
## 3323 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr ps_lead rel
## 3406 imp_rlg dut_ill ps_arm el_fair ps_lead men_lead el_brb rel
## 3335 imp_rlg dut_ill ps_arm dut_chl el_fair ps_lead el_brb rel
## 3315 imp_rlg dut_ill ps_arm dut_chl el_fair job_men men_lead rel
## 3526 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn men_lead rel
## 3325 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr men_lead rel
## 3306 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr rel
## 3579 imp_rlg ps_arm el_fair job_men trs_ntn ps_lead men_lead rel
## 3336 imp_rlg dut_ill ps_arm dut_chl el_fair men_lead el_brb rel
## 3534 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn ps_lead rel
## 3316 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_brb rel
## 3544 imp_rlg ps_arm dut_chl el_fair trs_ntn ps_lead el_brb rel
## 3536 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn men_lead rel
## 3545 imp_rlg ps_arm dut_chl el_fair trs_ntn men_lead el_brb rel
## 3380 imp_rlg dut_ill ps_arm el_fair job_men el_thr men_lead rel
## 3515 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn rel
## 3391 imp_rlg dut_ill ps_arm el_fair job_men men_lead el_brb rel
## 3527 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn el_brb rel
## 3397 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn el_brb rel
## 3529 imp_rlg ps_arm dut_chl el_fair job_men ps_lead men_lead rel
## 3570 imp_rlg ps_arm el_fair job_men el_thr trs_ntn ps_lead rel
## 3580 imp_rlg ps_arm el_fair job_men trs_ntn ps_lead el_brb rel
## 3381 imp_rlg dut_ill ps_arm el_fair job_men el_thr el_brb rel
## 3584 imp_rlg ps_arm el_fair el_thr trs_ntn ps_lead men_lead rel
## 3400 imp_rlg dut_ill ps_arm el_fair el_thr ps_lead el_brb rel
## 3539 imp_rlg ps_arm dut_chl el_fair el_thr ps_lead men_lead rel
## 3588 imp_rlg ps_arm el_fair trs_ntn ps_lead men_lead el_brb rel
## 3546 imp_rlg ps_arm dut_chl el_fair ps_lead men_lead el_brb rel
## 3518 imp_rlg ps_arm dut_chl el_fair job_men el_thr ps_lead rel
## 3530 imp_rlg ps_arm dut_chl el_fair job_men ps_lead el_brb rel
## 3401 imp_rlg dut_ill ps_arm el_fair el_thr men_lead el_brb rel
## 3326 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr el_brb rel
## 3572 imp_rlg ps_arm el_fair job_men el_thr trs_ntn men_lead rel
## 3581 imp_rlg ps_arm el_fair job_men trs_ntn men_lead el_brb rel
## 3419 imp_rlg dut_ill ps_arm job_men trs_ntn ps_lead el_brb rel
## 3409 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn ps_lead rel
## 3537 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn el_brb rel
## 3427 imp_rlg dut_ill ps_arm trs_ntn ps_lead men_lead el_brb rel
## 3369 imp_rlg dut_ill ps_arm dut_chl trs_ntn ps_lead el_brb rel
## 3359 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead rel
## 3423 imp_rlg dut_ill ps_arm el_thr trs_ntn ps_lead men_lead rel
## 3575 imp_rlg ps_arm el_fair job_men el_thr ps_lead men_lead rel
## 3520 imp_rlg ps_arm dut_chl el_fair job_men el_thr men_lead rel
## 3582 imp_rlg ps_arm el_fair job_men ps_lead men_lead el_brb rel
## 3531 imp_rlg ps_arm dut_chl el_fair job_men men_lead el_brb rel
## 3573 imp_rlg ps_arm el_fair job_men el_thr trs_ntn el_brb rel
## 3368 imp_rlg dut_ill ps_arm dut_chl trs_ntn ps_lead men_lead rel
## 3349 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn ps_lead rel
## 3540 imp_rlg ps_arm dut_chl el_fair el_thr ps_lead el_brb rel
## 3352 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn el_brb rel
## 3370 imp_rlg dut_ill ps_arm dut_chl trs_ntn men_lead el_brb rel
## 3644 dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead rel
## 3663 dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead men_lead rel
## 3418 imp_rlg dut_ill ps_arm job_men trs_ntn ps_lead men_lead rel
## 3586 imp_rlg ps_arm el_fair el_thr trs_ntn men_lead el_brb rel
## 3340 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn rel
## 3361 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn men_lead rel
## 3412 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn el_brb rel
## 3521 imp_rlg ps_arm dut_chl el_fair job_men el_thr el_brb rel
## 3541 imp_rlg ps_arm dut_chl el_fair el_thr men_lead el_brb rel
## 3420 imp_rlg dut_ill ps_arm job_men trs_ntn men_lead el_brb rel
## 3424 imp_rlg dut_ill ps_arm el_thr trs_ntn ps_lead el_brb rel
## 3576 imp_rlg ps_arm el_fair job_men el_thr ps_lead el_brb rel
## 3411 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn men_lead rel
## 3425 imp_rlg dut_ill ps_arm el_thr trs_ntn men_lead el_brb rel
## 3362 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn el_brb rel
## 3585 imp_rlg ps_arm el_fair el_thr trs_ntn ps_lead el_brb rel
## 3699 dut_ill ps_arm el_fair job_men trs_ntn ps_lead men_lead rel
## 3559 imp_rlg ps_arm dut_chl job_men trs_ntn ps_lead el_brb rel
## 3646 dut_ill ps_arm dut_chl el_fair job_men trs_ntn men_lead rel
## 3567 imp_rlg ps_arm dut_chl trs_ntn ps_lead men_lead el_brb rel
## 3587 imp_rlg ps_arm el_fair el_thr ps_lead men_lead el_brb rel
## 3355 imp_rlg dut_ill ps_arm dut_chl job_men ps_lead el_brb rel
## 3635 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn rel
## 3371 imp_rlg dut_ill ps_arm dut_chl ps_lead men_lead el_brb rel
## 3656 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn men_lead rel
## 3690 dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead rel
## 3647 dut_ill ps_arm dut_chl el_fair job_men trs_ntn el_brb rel
## 3415 imp_rlg dut_ill ps_arm job_men el_thr ps_lead el_brb rel
## 3421 imp_rlg dut_ill ps_arm job_men ps_lead men_lead el_brb rel
## 3343 imp_rlg dut_ill ps_arm dut_chl job_men el_thr ps_lead rel
## 3654 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead rel
## 3549 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn ps_lead rel
## 3665 dut_ill ps_arm dut_chl el_fair trs_ntn men_lead el_brb rel
## 3700 dut_ill ps_arm el_fair job_men trs_ntn ps_lead el_brb rel
## 3649 dut_ill ps_arm dut_chl el_fair job_men ps_lead men_lead rel
## 3563 imp_rlg ps_arm dut_chl el_thr trs_ntn ps_lead men_lead rel
## 3364 imp_rlg dut_ill ps_arm dut_chl el_thr ps_lead men_lead rel
## 3351 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn men_lead rel
## 3664 dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead el_brb rel
## 3638 dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead rel
## 3414 imp_rlg dut_ill ps_arm job_men el_thr ps_lead men_lead rel
## 3577 imp_rlg ps_arm el_fair job_men el_thr men_lead el_brb rel
## 3650 dut_ill ps_arm dut_chl el_fair job_men ps_lead el_brb rel
## 3426 imp_rlg dut_ill ps_arm el_thr ps_lead men_lead el_brb rel
## 3365 imp_rlg dut_ill ps_arm dut_chl el_thr ps_lead el_brb rel
## 3659 dut_ill ps_arm dut_chl el_fair el_thr ps_lead men_lead rel
## 3704 dut_ill ps_arm el_fair el_thr trs_ntn ps_lead men_lead rel
## 3666 dut_ill ps_arm dut_chl el_fair ps_lead men_lead el_brb rel
## 3692 dut_ill ps_arm el_fair job_men el_thr trs_ntn men_lead rel
## 3564 imp_rlg ps_arm dut_chl el_thr trs_ntn ps_lead el_brb rel
## 3708 dut_ill ps_arm el_fair trs_ntn ps_lead men_lead el_brb rel
## 3701 dut_ill ps_arm el_fair job_men trs_ntn men_lead el_brb rel
## 3594 imp_rlg ps_arm job_men trs_ntn ps_lead men_lead el_brb rel
## 3560 imp_rlg ps_arm dut_chl job_men trs_ntn men_lead el_brb rel
## 3552 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn el_brb rel
## 3558 imp_rlg ps_arm dut_chl job_men trs_ntn ps_lead men_lead rel
## 3591 imp_rlg ps_arm job_men el_thr trs_ntn ps_lead el_brb rel
## 3695 dut_ill ps_arm el_fair job_men el_thr ps_lead men_lead rel
## 3565 imp_rlg ps_arm dut_chl el_thr trs_ntn men_lead el_brb rel
## 3346 imp_rlg dut_ill ps_arm dut_chl job_men el_thr el_brb rel
## 3763 ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead rel
## 3702 dut_ill ps_arm el_fair job_men ps_lead men_lead el_brb rel
## 3354 imp_rlg dut_ill ps_arm dut_chl job_men ps_lead men_lead rel
## 3640 dut_ill ps_arm dut_chl el_fair job_men el_thr men_lead rel
## 3590 imp_rlg ps_arm job_men el_thr trs_ntn ps_lead men_lead rel
## 3356 imp_rlg dut_ill ps_arm dut_chl job_men men_lead el_brb rel
## 3693 dut_ill ps_arm el_fair job_men el_thr trs_ntn el_brb rel
## 3366 imp_rlg dut_ill ps_arm dut_chl el_thr men_lead el_brb rel
## 3651 dut_ill ps_arm dut_chl el_fair job_men men_lead el_brb rel
## 3551 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn men_lead rel
## 3754 ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead rel
## 3416 imp_rlg dut_ill ps_arm job_men el_thr men_lead el_brb rel
## 3764 ps_arm dut_chl el_fair job_men trs_ntn ps_lead el_brb rel
## 3657 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn el_brb rel
## 3345 imp_rlg dut_ill ps_arm dut_chl job_men el_thr men_lead rel
## 3768 ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead rel
## 3595 imp_rlg ps_arm el_thr trs_ntn ps_lead men_lead el_brb rel
## 3696 dut_ill ps_arm el_fair job_men el_thr ps_lead el_brb rel
## 3772 ps_arm dut_chl el_fair trs_ntn ps_lead men_lead el_brb rel
## 3641 dut_ill ps_arm dut_chl el_fair job_men el_thr el_brb rel
## 3660 dut_ill ps_arm dut_chl el_fair el_thr ps_lead el_brb rel
## 3661 dut_ill ps_arm dut_chl el_fair el_thr men_lead el_brb rel
## 3706 dut_ill ps_arm el_fair el_thr trs_ntn men_lead el_brb rel
## 3561 imp_rlg ps_arm dut_chl job_men ps_lead men_lead el_brb rel
## 3555 imp_rlg ps_arm dut_chl job_men el_thr ps_lead el_brb rel
## 3756 ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead rel
## 3765 ps_arm dut_chl el_fair job_men trs_ntn men_lead el_brb rel
## 3592 imp_rlg ps_arm job_men el_thr trs_ntn men_lead el_brb rel
## 3566 imp_rlg ps_arm dut_chl el_thr ps_lead men_lead el_brb rel
## 3707 dut_ill ps_arm el_fair el_thr ps_lead men_lead el_brb rel
## 3697 dut_ill ps_arm el_fair job_men el_thr men_lead el_brb rel
## 3554 imp_rlg ps_arm dut_chl job_men el_thr ps_lead men_lead rel
## 3705 dut_ill ps_arm el_fair el_thr trs_ntn ps_lead el_brb rel
## 3757 ps_arm dut_chl el_fair job_men el_thr trs_ntn el_brb rel
## 3766 ps_arm dut_chl el_fair job_men ps_lead men_lead el_brb rel
## 3759 ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead rel
## 3770 ps_arm dut_chl el_fair el_thr trs_ntn men_lead el_brb rel
## 3679 dut_ill ps_arm dut_chl job_men trs_ntn ps_lead el_brb rel
## 3593 imp_rlg ps_arm job_men el_thr ps_lead men_lead el_brb rel
## 3760 ps_arm dut_chl el_fair job_men el_thr ps_lead el_brb rel
## 3769 ps_arm dut_chl el_fair el_thr trs_ntn ps_lead el_brb rel
## 3669 dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead rel
## 3687 dut_ill ps_arm dut_chl trs_ntn ps_lead men_lead el_brb rel
## 3785 ps_arm el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 3556 imp_rlg ps_arm dut_chl job_men el_thr men_lead el_brb rel
## 3781 ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 3495 imp_rlg dut_ill el_fair job_men trs_ntn ps_lead men_lead rel
## 3771 ps_arm dut_chl el_fair el_thr ps_lead men_lead el_brb rel
## 3459 imp_rlg dut_ill dut_chl el_fair trs_ntn ps_lead men_lead rel
## 3440 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn ps_lead rel
## 3683 dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead men_lead rel
## 3711 dut_ill ps_arm job_men el_thr trs_ntn ps_lead el_brb rel
## 3486 imp_rlg dut_ill el_fair job_men el_thr trs_ntn ps_lead rel
## 3672 dut_ill ps_arm dut_chl job_men el_thr trs_ntn el_brb rel
## 3714 dut_ill ps_arm job_men trs_ntn ps_lead men_lead el_brb rel
## 3680 dut_ill ps_arm dut_chl job_men trs_ntn men_lead el_brb rel
## 3684 dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead el_brb rel
## 3761 ps_arm dut_chl el_fair job_men el_thr men_lead el_brb rel
## 3782 ps_arm el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 3710 dut_ill ps_arm job_men el_thr trs_ntn ps_lead men_lead rel
## 3685 dut_ill ps_arm dut_chl el_thr trs_ntn men_lead el_brb rel
## 3496 imp_rlg dut_ill el_fair job_men trs_ntn ps_lead el_brb rel
## 3500 imp_rlg dut_ill el_fair el_thr trs_ntn ps_lead men_lead rel
## 3671 dut_ill ps_arm dut_chl job_men el_thr trs_ntn men_lead rel
## 3445 imp_rlg dut_ill dut_chl el_fair job_men ps_lead men_lead rel
## 3675 dut_ill ps_arm dut_chl job_men el_thr ps_lead el_brb rel
## 3715 dut_ill ps_arm el_thr trs_ntn ps_lead men_lead el_brb rel
## 3712 dut_ill ps_arm job_men el_thr trs_ntn men_lead el_brb rel
## 3678 dut_ill ps_arm dut_chl job_men trs_ntn ps_lead men_lead rel
## 3491 imp_rlg dut_ill el_fair job_men el_thr ps_lead men_lead rel
## 3783 ps_arm el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 3434 imp_rlg dut_ill dut_chl el_fair job_men el_thr ps_lead rel
## 3504 imp_rlg dut_ill el_fair trs_ntn ps_lead men_lead el_brb rel
## 3681 dut_ill ps_arm dut_chl job_men ps_lead men_lead el_brb rel
## 3455 imp_rlg dut_ill dut_chl el_fair el_thr ps_lead men_lead rel
## 3686 dut_ill ps_arm dut_chl el_thr ps_lead men_lead el_brb rel
## 3498 imp_rlg dut_ill el_fair job_men ps_lead men_lead el_brb rel
## 3674 dut_ill ps_arm dut_chl job_men el_thr ps_lead men_lead rel
## 3446 imp_rlg dut_ill dut_chl el_fair job_men ps_lead el_brb rel
## 3784 ps_arm el_fair job_men el_thr ps_lead men_lead el_brb rel
## 3786 ps_arm el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 3607 imp_rlg dut_chl el_fair job_men trs_ntn ps_lead men_lead rel
## 3778 ps_arm dut_chl job_men trs_ntn ps_lead men_lead el_brb rel
## 3775 ps_arm dut_chl job_men el_thr trs_ntn ps_lead el_brb rel
## 3450 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn ps_lead rel
## 3462 imp_rlg dut_ill dut_chl el_fair ps_lead men_lead el_brb rel
## 3713 dut_ill ps_arm job_men el_thr ps_lead men_lead el_brb rel
## 3598 imp_rlg dut_chl el_fair job_men el_thr trs_ntn ps_lead rel
## 3492 imp_rlg dut_ill el_fair job_men el_thr ps_lead el_brb rel
## 3676 dut_ill ps_arm dut_chl job_men el_thr men_lead el_brb rel
## 3779 ps_arm dut_chl el_thr trs_ntn ps_lead men_lead el_brb rel
## 3774 ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead rel
## 3612 imp_rlg dut_chl el_fair el_thr trs_ntn ps_lead men_lead rel
## 3460 imp_rlg dut_ill dut_chl el_fair trs_ntn ps_lead el_brb rel
## 3608 imp_rlg dut_chl el_fair job_men trs_ntn ps_lead el_brb rel
## 3776 ps_arm dut_chl job_men el_thr trs_ntn men_lead el_brb rel
## 3616 imp_rlg dut_chl el_fair trs_ntn ps_lead men_lead el_brb rel
## 3503 imp_rlg dut_ill el_fair el_thr ps_lead men_lead el_brb rel
## 3625 imp_rlg el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 3603 imp_rlg dut_chl el_fair job_men el_thr ps_lead men_lead rel
## 3629 imp_rlg el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 3465 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn ps_lead rel
## 3610 imp_rlg dut_chl el_fair job_men ps_lead men_lead el_brb rel
## 3506 imp_rlg dut_ill job_men el_thr trs_ntn ps_lead men_lead rel
## 3777 ps_arm dut_chl job_men el_thr ps_lead men_lead el_brb rel
## 3507 imp_rlg dut_ill job_men el_thr trs_ntn ps_lead el_brb rel
## 3510 imp_rlg dut_ill job_men trs_ntn ps_lead men_lead el_brb rel
## 3327 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead men_lead
## 3475 imp_rlg dut_ill dut_chl job_men trs_ntn ps_lead el_brb rel
## 3787 ps_arm job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 3307 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead
## 3479 imp_rlg dut_ill dut_chl el_thr trs_ntn ps_lead men_lead rel
## 3488 imp_rlg dut_ill el_fair job_men el_thr trs_ntn men_lead rel
## 3501 imp_rlg dut_ill el_fair el_thr trs_ntn ps_lead el_brb rel
## 3456 imp_rlg dut_ill dut_chl el_fair el_thr ps_lead el_brb rel
## 3442 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn men_lead rel
## 3382 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn ps_lead men_lead
## 3483 imp_rlg dut_ill dut_chl trs_ntn ps_lead men_lead el_brb rel
## 3431 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn rel
## 3604 imp_rlg dut_chl el_fair job_men el_thr ps_lead el_brb rel
## 3626 imp_rlg el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 3452 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn men_lead rel
## 3497 imp_rlg dut_ill el_fair job_men trs_ntn men_lead el_brb rel
## 3511 imp_rlg dut_ill el_thr trs_ntn ps_lead men_lead el_brb rel
## 3615 imp_rlg dut_chl el_fair el_thr ps_lead men_lead el_brb rel
## 3443 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn el_brb rel
## 3372 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead
## 3474 imp_rlg dut_ill dut_chl job_men trs_ntn ps_lead men_lead rel
## 3461 imp_rlg dut_ill dut_chl el_fair trs_ntn men_lead el_brb rel
## 3308 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn men_lead
## 3471 imp_rlg dut_ill dut_chl job_men el_thr ps_lead el_brb rel
## 3718 dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead rel
## 3489 imp_rlg dut_ill el_fair job_men el_thr trs_ntn el_brb rel
## 3727 dut_ill dut_chl el_fair job_men trs_ntn ps_lead men_lead rel
## 3628 imp_rlg el_fair job_men el_thr ps_lead men_lead el_brb rel
## 3509 imp_rlg dut_ill job_men el_thr ps_lead men_lead el_brb rel
## 3470 imp_rlg dut_ill dut_chl job_men el_thr ps_lead men_lead rel
## 3436 imp_rlg dut_ill dut_chl el_fair job_men el_thr men_lead rel
## 3613 imp_rlg dut_chl el_fair el_thr trs_ntn ps_lead el_brb rel
## 3477 imp_rlg dut_ill dut_chl job_men ps_lead men_lead el_brb rel
## 3630 imp_rlg el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 3480 imp_rlg dut_ill dut_chl el_thr trs_ntn ps_lead el_brb rel
## 3383 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn ps_lead el_brb
## 3622 imp_rlg dut_chl job_men trs_ntn ps_lead men_lead el_brb rel
## 3745 dut_ill el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 3618 imp_rlg dut_chl job_men el_thr trs_ntn ps_lead men_lead rel
## 3482 imp_rlg dut_ill dut_chl el_thr ps_lead men_lead el_brb rel
## 3392 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn ps_lead men_lead
## 3619 imp_rlg dut_chl job_men el_thr trs_ntn ps_lead el_brb rel
## 3728 dut_ill dut_chl el_fair job_men trs_ntn ps_lead el_brb rel
## 3732 dut_ill dut_chl el_fair el_thr trs_ntn ps_lead men_lead rel
## 3447 imp_rlg dut_ill dut_chl el_fair job_men men_lead el_brb rel
## 3723 dut_ill dut_chl el_fair job_men el_thr ps_lead men_lead rel
## 3302 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn
## 3600 imp_rlg dut_chl el_fair job_men el_thr trs_ntn men_lead rel
## 3402 imp_rlg dut_ill ps_arm el_fair trs_ntn ps_lead men_lead el_brb
## 3318 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn men_lead
## 3502 imp_rlg dut_ill el_fair el_thr trs_ntn men_lead el_brb rel
## 3749 dut_ill el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 3373 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn men_lead
## 3493 imp_rlg dut_ill el_fair job_men el_thr men_lead el_brb rel
## 3623 imp_rlg dut_chl el_thr trs_ntn ps_lead men_lead el_brb rel
## 3736 dut_ill dut_chl el_fair trs_ntn ps_lead men_lead el_brb rel
## 3730 dut_ill dut_chl el_fair job_men ps_lead men_lead el_brb rel
## 3437 imp_rlg dut_ill dut_chl el_fair job_men el_thr el_brb rel
## 3309 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn el_brb
## 3317 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead
## 3609 imp_rlg dut_chl el_fair job_men trs_ntn men_lead el_brb rel
## 3330 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn men_lead el_brb
## 3385 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn men_lead el_brb
## 3631 imp_rlg job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 3746 dut_ill el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 3724 dut_ill dut_chl el_fair job_men el_thr ps_lead el_brb rel
## 3457 imp_rlg dut_ill dut_chl el_fair el_thr men_lead el_brb rel
## 3328 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead el_brb
## 3522 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead
## 3748 dut_ill el_fair job_men el_thr ps_lead men_lead el_brb rel
## 3601 imp_rlg dut_chl el_fair job_men el_thr trs_ntn el_brb rel
## 3311 imp_rlg dut_ill ps_arm dut_chl el_fair job_men ps_lead men_lead
## 3789 dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 3621 imp_rlg dut_chl job_men el_thr ps_lead men_lead el_brb rel
## 3735 dut_ill dut_chl el_fair el_thr ps_lead men_lead el_brb rel
## 3453 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn el_brb rel
## 3508 imp_rlg dut_ill job_men el_thr trs_ntn men_lead el_brb rel
## 3467 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn men_lead rel
## 3793 dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 3468 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn el_brb rel
## 3614 imp_rlg dut_chl el_fair el_thr trs_ntn men_lead el_brb rel
## 3374 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn el_brb
## 3476 imp_rlg dut_ill dut_chl job_men trs_ntn men_lead el_brb rel
## 3512 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead
## 3303 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead
## 3627 imp_rlg el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 3750 dut_ill el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 3532 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead
## 3481 imp_rlg dut_ill dut_chl el_thr trs_ntn men_lead el_brb rel
## 3376 imp_rlg dut_ill ps_arm el_fair job_men el_thr ps_lead men_lead
## 3321 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr ps_lead men_lead
## 3523 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn ps_lead el_brb
## 3790 dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 3605 imp_rlg dut_chl el_fair job_men el_thr men_lead el_brb rel
## 3312 imp_rlg dut_ill ps_arm dut_chl el_fair job_men ps_lead el_brb
## 3720 dut_ill dut_chl el_fair job_men el_thr trs_ntn men_lead rel
## 3542 imp_rlg ps_arm dut_chl el_fair trs_ntn ps_lead men_lead el_brb
## 3739 dut_ill dut_chl job_men el_thr trs_ntn ps_lead el_brb rel
## 3733 dut_ill dut_chl el_fair el_thr trs_ntn ps_lead el_brb rel
## 3395 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn men_lead el_brb
## 3388 imp_rlg dut_ill ps_arm el_fair job_men ps_lead men_lead el_brb
## 3333 imp_rlg dut_ill ps_arm dut_chl el_fair ps_lead men_lead el_brb
## 3738 dut_ill dut_chl job_men el_thr trs_ntn ps_lead men_lead rel
## 3742 dut_ill dut_chl job_men trs_ntn ps_lead men_lead el_brb rel
## 3792 dut_chl el_fair job_men el_thr ps_lead men_lead el_brb rel
## 3751 dut_ill job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 3729 dut_ill dut_chl el_fair job_men trs_ntn men_lead el_brb rel
## 3794 dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 3513 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead
## 3743 dut_ill dut_chl el_thr trs_ntn ps_lead men_lead el_brb rel
## 3472 imp_rlg dut_ill dut_chl job_men el_thr men_lead el_brb rel
## 3319 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn el_brb
## 3525 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn men_lead el_brb
## 3721 dut_ill dut_chl el_fair job_men el_thr trs_ntn el_brb rel
## 3620 imp_rlg dut_chl job_men el_thr trs_ntn men_lead el_brb rel
## 3304 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr men_lead
## 3393 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn ps_lead el_brb
## 3741 dut_ill dut_chl job_men el_thr ps_lead men_lead el_brb rel
## 3377 imp_rlg dut_ill ps_arm el_fair job_men el_thr ps_lead el_brb
## 3568 imp_rlg ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead
## 3747 dut_ill el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 3578 imp_rlg ps_arm el_fair job_men trs_ntn ps_lead men_lead el_brb
## 3314 imp_rlg dut_ill ps_arm dut_chl el_fair job_men men_lead el_brb
## 3796 el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 3337 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead
## 3725 dut_ill dut_chl el_fair job_men el_thr men_lead el_brb rel
## 3734 dut_ill dut_chl el_fair el_thr trs_ntn men_lead el_brb rel
## 3348 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn ps_lead el_brb
## 3407 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn ps_lead men_lead
## 3357 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead men_lead
## 3417 imp_rlg dut_ill ps_arm job_men trs_ntn ps_lead men_lead el_brb
## 3398 imp_rlg dut_ill ps_arm el_fair el_thr ps_lead men_lead el_brb
## 3795 dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 3514 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn el_brb
## 3367 imp_rlg dut_ill ps_arm dut_chl trs_ntn ps_lead men_lead el_brb
## 3408 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn ps_lead el_brb
## 3305 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr el_brb
## 3535 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn men_lead el_brb
## 3347 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn ps_lead men_lead
## 3379 imp_rlg dut_ill ps_arm el_fair job_men el_thr men_lead el_brb
## 3324 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr men_lead el_brb
## 3791 dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 3322 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr ps_lead el_brb
## 3569 imp_rlg ps_arm el_fair job_men el_thr trs_ntn ps_lead el_brb
## 3516 imp_rlg ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead
## 3740 dut_ill dut_chl job_men el_thr trs_ntn men_lead el_brb rel
## 3338 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn men_lead
## 3528 imp_rlg ps_arm dut_chl el_fair job_men ps_lead men_lead el_brb
## 3533 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn ps_lead el_brb
## 3422 imp_rlg dut_ill ps_arm el_thr trs_ntn ps_lead men_lead el_brb
## 3350 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn men_lead el_brb
## 3339 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn el_brb
## 3438 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn ps_lead men_lead
## 3410 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn men_lead el_brb
## 3358 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead el_brb
## 3571 imp_rlg ps_arm el_fair job_men el_thr trs_ntn men_lead el_brb
## 3360 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn men_lead el_brb
## 3484 imp_rlg dut_ill el_fair job_men el_thr trs_ntn ps_lead men_lead
## 3583 imp_rlg ps_arm el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3428 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead
## 3517 imp_rlg ps_arm dut_chl el_fair job_men el_thr ps_lead el_brb
## 3494 imp_rlg dut_ill el_fair job_men trs_ntn ps_lead men_lead el_brb
## 3448 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn ps_lead men_lead
## 3557 imp_rlg ps_arm dut_chl job_men trs_ntn ps_lead men_lead el_brb
## 3538 imp_rlg ps_arm dut_chl el_fair el_thr ps_lead men_lead el_brb
## 3547 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead
## 3439 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn ps_lead el_brb
## 3548 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn ps_lead el_brb
## 3642 dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead
## 3458 imp_rlg dut_ill dut_chl el_fair trs_ntn ps_lead men_lead el_brb
## 3632 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead
## 3562 imp_rlg ps_arm dut_chl el_thr trs_ntn ps_lead men_lead el_brb
## 3341 imp_rlg dut_ill ps_arm dut_chl job_men el_thr ps_lead men_lead
## 3353 imp_rlg dut_ill ps_arm dut_chl job_men ps_lead men_lead el_brb
## 3519 imp_rlg ps_arm dut_chl el_fair job_men el_thr men_lead el_brb
## 3485 imp_rlg dut_ill el_fair job_men el_thr trs_ntn ps_lead el_brb
## 3342 imp_rlg dut_ill ps_arm dut_chl job_men el_thr ps_lead el_brb
## 3574 imp_rlg ps_arm el_fair job_men el_thr ps_lead men_lead el_brb
## 3413 imp_rlg dut_ill ps_arm job_men el_thr ps_lead men_lead el_brb
## 3643 dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead el_brb
## 3432 imp_rlg dut_ill dut_chl el_fair job_men el_thr ps_lead men_lead
## 3633 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead
## 3652 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead
## 3550 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn men_lead el_brb
## 3363 imp_rlg dut_ill ps_arm dut_chl el_thr ps_lead men_lead el_brb
## 3596 imp_rlg dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead
## 3589 imp_rlg ps_arm job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3688 dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead
## 3645 dut_ill ps_arm dut_chl el_fair job_men trs_ntn men_lead el_brb
## 3662 dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead men_lead el_brb
## 3444 imp_rlg dut_ill dut_chl el_fair job_men ps_lead men_lead el_brb
## 3499 imp_rlg dut_ill el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3698 dut_ill ps_arm el_fair job_men trs_ntn ps_lead men_lead el_brb
## 3606 imp_rlg dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb
## 3634 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn el_brb
## 3344 imp_rlg dut_ill ps_arm dut_chl job_men el_thr men_lead el_brb
## 3490 imp_rlg dut_ill el_fair job_men el_thr ps_lead men_lead el_brb
## 3429 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn men_lead
## 3433 imp_rlg dut_ill dut_chl el_fair job_men el_thr ps_lead el_brb
## 3463 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn ps_lead men_lead
## 3689 dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead el_brb
## 3636 dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead
## 3597 imp_rlg dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb
## 3655 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn men_lead el_brb
## 3648 dut_ill ps_arm dut_chl el_fair job_men ps_lead men_lead el_brb
## 3473 imp_rlg dut_ill dut_chl job_men trs_ntn ps_lead men_lead el_brb
## 3505 imp_rlg dut_ill job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3464 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn ps_lead el_brb
## 3454 imp_rlg dut_ill dut_chl el_fair el_thr ps_lead men_lead el_brb
## 3441 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn men_lead el_brb
## 3449 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn ps_lead el_brb
## 3691 dut_ill ps_arm el_fair job_men el_thr trs_ntn men_lead el_brb
## 3752 ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead
## 3611 imp_rlg dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3487 imp_rlg dut_ill el_fair job_men el_thr trs_ntn men_lead el_brb
## 3553 imp_rlg ps_arm dut_chl job_men el_thr ps_lead men_lead el_brb
## 3762 ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb
## 3637 dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead el_brb
## 3478 imp_rlg dut_ill dut_chl el_thr trs_ntn ps_lead men_lead el_brb
## 3430 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn el_brb
## 3624 imp_rlg el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3653 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead el_brb
## 3703 dut_ill ps_arm el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3451 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn men_lead el_brb
## 3658 dut_ill ps_arm dut_chl el_fair el_thr ps_lead men_lead el_brb
## 3639 dut_ill ps_arm dut_chl el_fair job_men el_thr men_lead el_brb
## 3694 dut_ill ps_arm el_fair job_men el_thr ps_lead men_lead el_brb
## 3753 ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb
## 3667 dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead
## 3668 dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead el_brb
## 3677 dut_ill ps_arm dut_chl job_men trs_ntn ps_lead men_lead el_brb
## 3602 imp_rlg dut_chl el_fair job_men el_thr ps_lead men_lead el_brb
## 3755 ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb
## 3617 imp_rlg dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3767 ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3469 imp_rlg dut_ill dut_chl job_men el_thr ps_lead men_lead el_brb
## 3670 dut_ill ps_arm dut_chl job_men el_thr trs_ntn men_lead el_brb
## 3709 dut_ill ps_arm job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3716 dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead
## 3682 dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead men_lead el_brb
## 3435 imp_rlg dut_ill dut_chl el_fair job_men el_thr men_lead el_brb
## 3599 imp_rlg dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb
## 3466 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn men_lead el_brb
## 3726 dut_ill dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb
## 3758 ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead el_brb
## 3717 dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb
## 3780 ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3673 dut_ill ps_arm dut_chl job_men el_thr ps_lead men_lead el_brb
## 3744 dut_ill el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3773 ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3731 dut_ill dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3722 dut_ill dut_chl el_fair job_men el_thr ps_lead men_lead el_brb
## 3737 dut_ill dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3719 dut_ill dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb
## 3788 dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3828 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead men_lead rel
## 3809 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead rel
## 3864 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn ps_lead men_lead rel
## 3855 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead rel
## 3869 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn ps_lead men_lead rel
## 3819 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead rel
## 3865 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn ps_lead el_brb rel
## 3873 imp_rlg dut_ill ps_arm el_fair trs_ntn ps_lead men_lead el_brb rel
## 3829 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead el_brb rel
## 3811 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn men_lead rel
## 3821 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn men_lead rel
## 3800 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn rel
## 3830 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn men_lead el_brb rel
## 3812 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn el_brb rel
## 3857 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn men_lead rel
## 3814 imp_rlg dut_ill ps_arm dut_chl el_fair job_men ps_lead men_lead rel
## 3866 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn men_lead el_brb rel
## 3824 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr ps_lead men_lead rel
## 3928 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead rel
## 3803 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead rel
## 3831 imp_rlg dut_ill ps_arm dut_chl el_fair ps_lead men_lead el_brb rel
## 3815 imp_rlg dut_ill ps_arm dut_chl el_fair job_men ps_lead el_brb rel
## 3933 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead rel
## 3860 imp_rlg dut_ill ps_arm el_fair job_men el_thr ps_lead men_lead rel
## 3937 imp_rlg ps_arm dut_chl el_fair trs_ntn ps_lead men_lead el_brb rel
## 3858 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn el_brb rel
## 3867 imp_rlg dut_ill ps_arm el_fair job_men ps_lead men_lead el_brb rel
## 3919 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead rel
## 3929 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn ps_lead el_brb rel
## 3870 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn ps_lead el_brb rel
## 3871 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn men_lead el_brb rel
## 3822 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn el_brb rel
## 3861 imp_rlg dut_ill ps_arm el_fair job_men el_thr ps_lead el_brb rel
## 3872 imp_rlg dut_ill ps_arm el_fair el_thr ps_lead men_lead el_brb rel
## 3805 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr men_lead rel
## 3825 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr ps_lead el_brb rel
## 3816 imp_rlg dut_ill ps_arm dut_chl el_fair job_men men_lead el_brb rel
## 3921 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead rel
## 3930 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn men_lead el_brb rel
## 3946 imp_rlg ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 3950 imp_rlg ps_arm el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 3826 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr men_lead el_brb rel
## 3806 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr el_brb rel
## 3934 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn ps_lead el_brb rel
## 3935 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn men_lead el_brb rel
## 3922 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn el_brb rel
## 3862 imp_rlg dut_ill ps_arm el_fair job_men el_thr men_lead el_brb rel
## 3924 imp_rlg ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead rel
## 3931 imp_rlg ps_arm dut_chl el_fair job_men ps_lead men_lead el_brb rel
## 3947 imp_rlg ps_arm el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 3852 imp_rlg dut_ill ps_arm dut_chl trs_ntn ps_lead men_lead el_brb rel
## 3844 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn ps_lead el_brb rel
## 3936 imp_rlg ps_arm dut_chl el_fair el_thr ps_lead men_lead el_brb rel
## 3951 imp_rlg ps_arm el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 3925 imp_rlg ps_arm dut_chl el_fair job_men el_thr ps_lead el_brb rel
## 3834 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead rel
## 3848 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead men_lead rel
## 3876 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn ps_lead el_brb rel
## 3879 imp_rlg dut_ill ps_arm job_men trs_ntn ps_lead men_lead el_brb rel
## 3875 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn ps_lead men_lead rel
## 3849 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead el_brb rel
## 3948 imp_rlg ps_arm el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 3880 imp_rlg dut_ill ps_arm el_thr trs_ntn ps_lead men_lead el_brb rel
## 3837 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn el_brb rel
## 3973 dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead rel
## 3850 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn men_lead el_brb rel
## 3843 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn ps_lead men_lead rel
## 3845 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn men_lead el_brb rel
## 3926 imp_rlg ps_arm dut_chl el_fair job_men el_thr men_lead el_brb rel
## 3964 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead rel
## 3949 imp_rlg ps_arm el_fair job_men el_thr ps_lead men_lead el_brb rel
## 3978 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead rel
## 3974 dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead el_brb rel
## 3877 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn men_lead el_brb rel
## 3836 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn men_lead rel
## 3982 dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead men_lead el_brb rel
## 3943 imp_rlg ps_arm dut_chl job_men trs_ntn ps_lead men_lead el_brb rel
## 3966 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead rel
## 3940 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn ps_lead el_brb rel
## 3840 imp_rlg dut_ill ps_arm dut_chl job_men el_thr ps_lead el_brb rel
## 3991 dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 3944 imp_rlg ps_arm dut_chl el_thr trs_ntn ps_lead men_lead el_brb rel
## 3975 dut_ill ps_arm dut_chl el_fair job_men trs_ntn men_lead el_brb rel
## 3846 imp_rlg dut_ill ps_arm dut_chl job_men ps_lead men_lead el_brb rel
## 3851 imp_rlg dut_ill ps_arm dut_chl el_thr ps_lead men_lead el_brb rel
## 3995 dut_ill ps_arm el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 3939 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead rel
## 3878 imp_rlg dut_ill ps_arm job_men el_thr ps_lead men_lead el_brb rel
## 3839 imp_rlg dut_ill ps_arm dut_chl job_men el_thr ps_lead men_lead rel
## 3969 dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead rel
## 3967 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn el_brb rel
## 3976 dut_ill ps_arm dut_chl el_fair job_men ps_lead men_lead el_brb rel
## 3980 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn men_lead el_brb rel
## 3992 dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 3979 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead el_brb rel
## 3970 dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead el_brb rel
## 3941 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn men_lead el_brb rel
## 3981 dut_ill ps_arm dut_chl el_fair el_thr ps_lead men_lead el_brb rel
## 3952 imp_rlg ps_arm job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 3996 dut_ill ps_arm el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 3993 dut_ill ps_arm el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 3841 imp_rlg dut_ill ps_arm dut_chl job_men el_thr men_lead el_brb rel
## 4008 ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 4012 ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 3994 dut_ill ps_arm el_fair job_men el_thr ps_lead men_lead el_brb rel
## 3971 dut_ill ps_arm dut_chl el_fair job_men el_thr men_lead el_brb rel
## 4009 ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 4013 ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 3942 imp_rlg ps_arm dut_chl job_men el_thr ps_lead men_lead el_brb rel
## 4010 ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 3985 dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead el_brb rel
## 4011 ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead el_brb rel
## 3892 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn ps_lead men_lead rel
## 3988 dut_ill ps_arm dut_chl job_men trs_ntn ps_lead men_lead el_brb rel
## 3910 imp_rlg dut_ill el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 3989 dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead men_lead el_brb rel
## 3883 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead rel
## 3897 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn ps_lead men_lead rel
## 3984 dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead rel
## 3914 imp_rlg dut_ill el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 3997 dut_ill ps_arm job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4015 ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 3893 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn ps_lead el_brb rel
## 3986 dut_ill ps_arm dut_chl job_men el_thr trs_ntn men_lead el_brb rel
## 3901 imp_rlg dut_ill dut_chl el_fair trs_ntn ps_lead men_lead el_brb rel
## 3911 imp_rlg dut_ill el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 3888 imp_rlg dut_ill dut_chl el_fair job_men el_thr ps_lead men_lead rel
## 3987 dut_ill ps_arm dut_chl job_men el_thr ps_lead men_lead el_brb rel
## 3895 imp_rlg dut_ill dut_chl el_fair job_men ps_lead men_lead el_brb rel
## 3915 imp_rlg dut_ill el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 3954 imp_rlg dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 3913 imp_rlg dut_ill el_fair job_men el_thr ps_lead men_lead el_brb rel
## 3889 imp_rlg dut_ill dut_chl el_fair job_men el_thr ps_lead el_brb rel
## 4014 ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 3958 imp_rlg dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 3900 imp_rlg dut_ill dut_chl el_fair el_thr ps_lead men_lead el_brb rel
## 3898 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn ps_lead el_brb rel
## 3955 imp_rlg dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 3959 imp_rlg dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 3807 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead
## 3903 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn ps_lead men_lead rel
## 3904 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn ps_lead el_brb rel
## 3916 imp_rlg dut_ill job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 3885 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn men_lead rel
## 3907 imp_rlg dut_ill dut_chl job_men trs_ntn ps_lead men_lead el_brb rel
## 3961 imp_rlg el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 3957 imp_rlg dut_chl el_fair job_men el_thr ps_lead men_lead el_brb rel
## 3908 imp_rlg dut_ill dut_chl el_thr trs_ntn ps_lead men_lead el_brb rel
## 3797 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead
## 3817 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead
## 3894 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn men_lead el_brb rel
## 3853 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead
## 3827 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead men_lead el_brb
## 3808 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead el_brb
## 3912 imp_rlg dut_ill el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 3863 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn ps_lead men_lead el_brb
## 3886 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn el_brb rel
## 3999 dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 3899 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn men_lead el_brb rel
## 3906 imp_rlg dut_ill dut_chl job_men el_thr ps_lead men_lead el_brb rel
## 3798 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead
## 4003 dut_ill dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 3960 imp_rlg dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 3810 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn men_lead el_brb
## 4000 dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 3854 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead el_brb
## 3890 imp_rlg dut_ill dut_chl el_fair job_men el_thr men_lead el_brb rel
## 4006 dut_ill el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4004 dut_ill dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 4002 dut_ill dut_chl el_fair job_men el_thr ps_lead men_lead el_brb rel
## 3868 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3956 imp_rlg dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 3799 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn el_brb
## 3820 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn men_lead el_brb
## 3856 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn men_lead el_brb
## 3818 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead el_brb
## 3917 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead
## 3905 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn men_lead el_brb rel
## 3801 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead
## 3927 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb
## 3813 imp_rlg dut_ill ps_arm dut_chl el_fair job_men ps_lead men_lead el_brb
## 4016 dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4005 dut_ill dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 3918 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb
## 3802 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead el_brb
## 4001 dut_ill dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 3932 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3859 imp_rlg dut_ill ps_arm el_fair job_men el_thr ps_lead men_lead el_brb
## 3823 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr ps_lead men_lead el_brb
## 3920 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb
## 3832 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead
## 3842 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn ps_lead men_lead el_brb
## 3833 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead el_brb
## 3804 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr men_lead el_brb
## 3874 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3945 imp_rlg ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3847 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead men_lead el_brb
## 3835 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn men_lead el_brb
## 3881 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead
## 3923 imp_rlg ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead el_brb
## 3891 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb
## 3938 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3909 imp_rlg dut_ill el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3882 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb
## 3962 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead
## 3896 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3972 dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb
## 3838 imp_rlg dut_ill ps_arm dut_chl job_men el_thr ps_lead men_lead el_brb
## 3963 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb
## 3965 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb
## 3887 imp_rlg dut_ill dut_chl el_fair job_men el_thr ps_lead men_lead el_brb
## 3977 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3953 imp_rlg dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3990 dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3902 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3884 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb
## 3968 dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead el_brb
## 4007 ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3983 dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3998 dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 4028 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead rel
## 4033 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead rel
## 4037 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead men_lead el_brb rel
## 4019 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead rel
## 4029 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead el_brb rel
## 4046 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 4050 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 4021 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead rel
## 4047 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 4051 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 4034 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead el_brb rel
## 4030 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn men_lead el_brb rel
## 4035 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn men_lead el_brb rel
## 4022 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn el_brb rel
## 4024 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead rel
## 4031 imp_rlg dut_ill ps_arm dut_chl el_fair job_men ps_lead men_lead el_brb rel
## 4048 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 4063 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 4067 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 4036 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr ps_lead men_lead el_brb rel
## 4025 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead el_brb rel
## 4068 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 4049 imp_rlg dut_ill ps_arm el_fair job_men el_thr ps_lead men_lead el_brb rel
## 4064 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 4026 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr men_lead el_brb rel
## 4065 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 4070 imp_rlg ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4066 imp_rlg ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead el_brb rel
## 4040 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead el_brb rel
## 4044 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead men_lead el_brb rel
## 4043 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn ps_lead men_lead el_brb rel
## 4039 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead rel
## 4052 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4041 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn men_lead el_brb rel
## 4073 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 4077 dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 4074 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 4078 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 4069 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4042 imp_rlg dut_ill ps_arm dut_chl job_men el_thr ps_lead men_lead el_brb rel
## 4075 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 4080 dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4076 dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead el_brb rel
## 4082 ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4054 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 4079 dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4058 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 4061 imp_rlg dut_ill el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4055 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 4059 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 4057 imp_rlg dut_ill dut_chl el_fair job_men el_thr ps_lead men_lead el_brb rel
## 4071 imp_rlg dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4060 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4017 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead
## 4027 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb
## 4056 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 4018 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb
## 4032 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 4045 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 4081 dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4020 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb
## 4062 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 4023 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead el_brb
## 4038 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb
## 4053 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 4072 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 4084 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 4088 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 4089 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 4085 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 4091 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4086 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 4087 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead el_brb rel
## 4093 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4090 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4094 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4092 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4083 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 4095 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## R-Square Adj. R-Square Mallow's Cp
## 12 0.30599532 0.30537733 297.33998
## 6 0.17233261 0.17159559 570.50698
## 1 0.17118149 0.17044345 572.85952
## 3 0.16741166 0.16667027 580.56392
## 2 0.15247706 0.15172237 611.08583
## 4 0.12447559 0.12369596 668.31253
## 10 0.12388543 0.12310528 669.51865
## 9 0.11313795 0.11234822 691.48332
## 5 0.09439178 0.09358536 729.79493
## 8 0.08266078 0.08184391 753.76963
## 7 0.05223367 0.05138971 815.95363
## 11 0.04559950 0.04474963 829.51190
## 42 0.37525039 0.37413676 157.80313
## 23 0.34000079 0.33882432 229.84287
## 63 0.33933252 0.33815486 231.20863
## 33 0.33768964 0.33650905 234.56618
## 75 0.33679542 0.33561323 236.39371
## 57 0.33120727 0.33001513 247.81421
## 50 0.33013381 0.32893975 250.00807
## 77 0.32944985 0.32825457 251.40588
## 78 0.31996691 0.31875473 270.78619
## 68 0.31972418 0.31851156 271.28227
## 72 0.31888240 0.31766829 273.00261
## 14 0.28128886 0.28000773 349.83267
## 24 0.25774645 0.25642336 397.94637
## 17 0.25577403 0.25444742 401.97742
## 36 0.25121879 0.24988406 411.28699
## 13 0.25004810 0.24871129 413.67952
## 20 0.24458965 0.24324311 424.83498
## 27 0.23844365 0.23708615 437.39559
## 34 0.23822272 0.23686483 437.84709
## 21 0.23483562 0.23347169 444.76932
## 35 0.23466400 0.23329976 445.12008
## 51 0.23356040 0.23219419 447.37551
## 16 0.22988964 0.22851690 454.87744
## 60 0.22584973 0.22446978 463.13382
## 15 0.22544392 0.22406325 463.96318
## 19 0.22514920 0.22376801 464.56550
## 40 0.22494141 0.22355984 464.99017
## 38 0.22192170 0.22053475 471.16156
## 30 0.21889321 0.21750086 477.35089
## 59 0.21574881 0.21435086 483.77711
## 26 0.21434624 0.21294579 486.64355
## 31 0.21357775 0.21217593 488.21411
## 44 0.20967465 0.20826587 496.19090
## 58 0.20394906 0.20253008 507.89231
## 39 0.20377062 0.20235132 508.25699
## 62 0.20280438 0.20138335 510.23169
## 43 0.19869419 0.19726583 518.63171
## 47 0.19830901 0.19687997 519.41891
## 29 0.19826052 0.19683140 519.51799
## 18 0.19811029 0.19668090 519.82503
## 55 0.19804466 0.19661515 519.95915
## 25 0.19617128 0.19473843 523.78779
## 61 0.19423880 0.19280251 527.73719
## 22 0.19353222 0.19209467 529.18124
## 73 0.19243276 0.19099325 531.42821
## 41 0.19145163 0.19001036 533.43336
## 37 0.18987354 0.18842947 536.65850
## 48 0.18872561 0.18727949 539.00453
## 28 0.18725105 0.18580230 542.01810
## 46 0.18108513 0.17962539 554.61940
## 54 0.17952652 0.17806400 557.80475
## 70 0.17936932 0.17790652 558.12601
## 32 0.17843535 0.17697089 560.03477
## 69 0.16643983 0.16495398 584.55007
## 45 0.16510508 0.16361686 587.27789
## 49 0.15998566 0.15848831 597.74047
## 66 0.15740102 0.15589906 603.02272
## 76 0.15648115 0.15497755 604.90265
## 53 0.14964264 0.14812685 618.87855
## 65 0.14383511 0.14230897 630.74740
## 74 0.14038067 0.13884837 637.80728
## 64 0.12267239 0.12110852 673.99775
## 71 0.11572208 0.11414582 688.20213
## 52 0.11347312 0.11189286 692.79832
## 56 0.10433746 0.10274092 711.46890
## 67 0.06825529 0.06659443 785.21018
## 97 0.40138244 0.39978043 106.39696
## 193 0.39679983 0.39518556 115.76246
## 142 0.39540266 0.39378465 118.61786
## 186 0.38972300 0.38808979 130.22540
## 199 0.38915025 0.38751550 131.39594
## 208 0.38535848 0.38371359 139.14519
## 213 0.38487455 0.38322836 140.13421
## 211 0.38378882 0.38213973 142.35311
## 214 0.38363554 0.38198604 142.66637
## 204 0.38140318 0.37974770 147.22865
## 130 0.36862604 0.36693637 173.34135
## 88 0.36390905 0.36220675 182.98148
## 118 0.36341146 0.36170783 183.99840
## 248 0.36302367 0.36131901 184.79092
## 112 0.36266801 0.36096239 185.51779
## 175 0.36256414 0.36085824 185.73007
## 275 0.36134666 0.35963751 188.21824
## 157 0.36029480 0.35858283 190.36793
## 163 0.35947531 0.35776115 192.04271
## 260 0.35797971 0.35626155 195.09929
## 132 0.35785850 0.35614002 195.34700
## 239 0.35624774 0.35452494 198.63892
## 221 0.35551163 0.35378687 200.14330
## 105 0.35541407 0.35368905 200.34269
## 262 0.35483061 0.35310402 201.53511
## 296 0.35401339 0.35228461 203.20527
## 177 0.35339308 0.35166265 204.47300
## 127 0.35327963 0.35154889 204.70485
## 278 0.35255114 0.35081845 206.19367
## 268 0.35157020 0.34983489 208.19842
## 123 0.35062733 0.34888949 210.12537
## 133 0.35036032 0.34862177 210.67106
## 168 0.35025285 0.34851400 210.89071
## 227 0.35006049 0.34832114 211.28382
## 272 0.34982094 0.34808094 211.77341
## 178 0.34880718 0.34706447 213.84523
## 150 0.34880686 0.34706415 213.84588
## 172 0.34776883 0.34602334 215.96730
## 297 0.34694983 0.34520214 217.64110
## 285 0.34647954 0.34473060 218.60223
## 291 0.34646602 0.34471704 218.62986
## 241 0.34561514 0.34386389 220.36881
## 277 0.34546102 0.34370936 220.68378
## 242 0.34385778 0.34210182 223.96033
## 232 0.34384461 0.34208862 223.98725
## 298 0.34229284 0.34053269 227.15861
## 236 0.34204624 0.34028544 227.66258
## 293 0.34111361 0.33935031 229.56860
## 287 0.34110652 0.33934320 229.58309
## 257 0.34077834 0.33901414 230.25380
## 253 0.33701574 0.33524147 237.94344
## 263 0.33533577 0.33355701 241.37679
## 282 0.33161967 0.32983096 248.97140
## 294 0.33129933 0.32950976 249.62609
## 79 0.32998842 0.32819535 252.30518
## 90 0.32660862 0.32480651 259.21249
## 288 0.32557315 0.32376826 261.32870
## 91 0.32068758 0.31886962 271.31335
## 93 0.31977845 0.31795805 273.17134
## 89 0.31262145 0.31078190 287.79813
## 95 0.31061583 0.30877091 291.89703
## 135 0.30669638 0.30484097 299.90723
## 94 0.30649013 0.30463417 300.32873
## 187 0.30285415 0.30098846 307.75960
## 106 0.30149149 0.29962215 310.54448
## 136 0.30072010 0.29884870 312.12096
## 85 0.30045623 0.29858412 312.66025
## 115 0.29928990 0.29741467 315.04387
## 82 0.29769553 0.29581603 318.30230
## 179 0.29555667 0.29367145 322.67350
## 81 0.29465824 0.29277061 324.50962
## 96 0.29359629 0.29170582 326.67993
## 92 0.29304483 0.29115289 327.80694
## 138 0.29171441 0.28981891 330.52592
## 114 0.29072424 0.28882609 332.54955
## 109 0.28790776 0.28600207 338.30560
## 140 0.28739167 0.28548460 339.36033
## 151 0.28687985 0.28497141 340.40633
## 195 0.28672702 0.28481818 340.71867
## 86 0.28650586 0.28459642 341.17067
## 110 0.28628680 0.28437678 341.61835
## 128 0.28567852 0.28376687 342.86150
## 84 0.28538039 0.28346794 343.47080
## 134 0.28447808 0.28256322 345.31484
## 191 0.28401304 0.28209692 346.26526
## 102 0.28191775 0.27999603 350.54741
## 124 0.28122588 0.27930231 351.96138
## 139 0.28053835 0.27861294 353.36649
## 180 0.27947068 0.27754241 355.54849
## 182 0.27935929 0.27743073 355.77613
## 98 0.27841256 0.27648146 357.71098
## 160 0.27818999 0.27625830 358.16584
## 113 0.27605857 0.27412117 362.52183
## 125 0.27579293 0.27385482 363.06473
## 137 0.27475470 0.27281381 365.18655
## 99 0.27470263 0.27276160 365.29298
## 245 0.27468086 0.27273977 365.33747
## 117 0.27446907 0.27252742 365.77030
## 141 0.27302375 0.27107823 368.72410
## 196 0.27279230 0.27084616 369.19713
## 189 0.27161002 0.26966072 371.61335
## 83 0.27125345 0.26930319 372.34207
## 198 0.27122686 0.26927653 372.39642
## 116 0.27052674 0.26857454 373.82725
## 80 0.27026513 0.26831223 374.36190
## 184 0.26898014 0.26702379 376.98805
## 159 0.26888214 0.26692553 377.18833
## 194 0.26882127 0.26686450 377.31273
## 101 0.26864899 0.26669176 377.66483
## 155 0.26849781 0.26654018 377.97379
## 108 0.26794261 0.26598349 379.10844
## 206 0.26735452 0.26539383 380.31033
## 215 0.26700966 0.26504805 381.01511
## 154 0.26629747 0.26433395 382.47062
## 103 0.26531568 0.26334953 384.47711
## 87 0.26516197 0.26319541 384.79126
## 158 0.26408370 0.26211426 386.99491
## 183 0.26371019 0.26173974 387.75827
## 197 0.26342240 0.26145119 388.34642
## 244 0.26291115 0.26093857 389.39126
## 120 0.26065086 0.25867223 394.01062
## 173 0.26057775 0.25859892 394.16004
## 190 0.26054433 0.25856541 394.22834
## 162 0.25999794 0.25801756 395.34500
## 185 0.25908356 0.25710073 397.21373
## 129 0.25809031 0.25610483 399.24362
## 181 0.25807565 0.25609012 399.27360
## 269 0.25802813 0.25604248 399.37070
## 224 0.25560310 0.25361096 404.32676
## 121 0.25456679 0.25257188 406.44465
## 218 0.25434807 0.25235257 406.89165
## 143 0.25393312 0.25193651 407.73970
## 246 0.25371127 0.25171406 408.19309
## 219 0.25329993 0.25130163 409.03374
## 131 0.25315134 0.25115264 409.33741
## 144 0.25270486 0.25070496 410.24990
## 161 0.25211145 0.25010997 411.46264
## 169 0.25096608 0.24896153 413.80345
## 147 0.25093237 0.24892773 413.87234
## 209 0.25085491 0.24885006 414.03065
## 100 0.25024287 0.24823638 415.28148
## 170 0.24947377 0.24746522 416.85329
## 258 0.24937414 0.24736533 417.05689
## 223 0.24784381 0.24583090 420.18444
## 265 0.24756695 0.24555330 420.75027
## 205 0.24753725 0.24552353 420.81095
## 274 0.24715381 0.24513906 421.59460
## 119 0.24630576 0.24428874 423.32776
## 104 0.24622141 0.24420416 423.50015
## 153 0.24568501 0.24366632 424.59640
## 243 0.24513372 0.24311356 425.72307
## 212 0.24512971 0.24310954 425.73126
## 202 0.24219552 0.24016750 431.72787
## 264 0.24188894 0.23986010 432.35443
## 126 0.24156801 0.23953831 433.01032
## 273 0.24154168 0.23951191 433.06413
## 165 0.24152391 0.23949409 433.10044
## 237 0.24134633 0.23931604 433.46336
## 247 0.24078941 0.23875763 434.60154
## 188 0.24031646 0.23828341 435.56812
## 271 0.23976064 0.23772610 436.70404
## 207 0.23966623 0.23763144 436.89700
## 166 0.23952481 0.23748964 437.18602
## 222 0.23947886 0.23744357 437.27991
## 200 0.23937917 0.23734361 437.48365
## 107 0.23911727 0.23708101 438.01890
## 148 0.23861229 0.23657467 439.05094
## 192 0.23820351 0.23616480 439.88636
## 226 0.23787059 0.23583100 440.56674
## 233 0.23760310 0.23556279 441.11342
## 217 0.23637691 0.23433331 443.61939
## 146 0.23588454 0.23383963 444.62564
## 174 0.23584991 0.23380491 444.69642
## 176 0.23517700 0.23313020 446.07164
## 255 0.23486830 0.23282067 446.70253
## 270 0.23443120 0.23238240 447.59585
## 111 0.23371916 0.23166845 449.05105
## 234 0.23278124 0.23072802 450.96787
## 289 0.23191726 0.22986173 452.73360
## 145 0.22827272 0.22620743 460.18196
## 152 0.22779677 0.22573022 461.15465
## 164 0.22692466 0.22485577 462.93698
## 225 0.22613610 0.22406510 464.54857
## 229 0.22445728 0.22238179 467.97958
## 210 0.22240247 0.22032147 472.17901
## 276 0.22214813 0.22006646 472.69880
## 266 0.22204369 0.21996174 472.91224
## 238 0.22150532 0.21942193 474.01251
## 201 0.22120394 0.21911974 474.62845
## 149 0.22103223 0.21894757 474.97937
## 156 0.21940171 0.21731268 478.31168
## 230 0.21881832 0.21672774 479.50395
## 171 0.21857465 0.21648341 480.00194
## 240 0.21740173 0.21530736 482.39903
## 254 0.21642441 0.21432742 484.39639
## 267 0.21578040 0.21368169 485.71255
## 283 0.21431717 0.21221454 488.70296
## 295 0.21415392 0.21205086 489.03659
## 216 0.21374100 0.21163683 489.88048
## 228 0.21359621 0.21149165 490.17639
## 251 0.20890965 0.20679255 499.75433
## 235 0.20809037 0.20597108 501.42870
## 220 0.20653507 0.20441161 504.60727
## 280 0.20623636 0.20411210 505.21774
## 122 0.20596906 0.20384409 505.76403
## 261 0.20451603 0.20238717 508.73359
## 292 0.20418123 0.20205147 509.41783
## 203 0.20018597 0.19804552 517.58295
## 167 0.19536389 0.19321054 527.43784
## 279 0.19148476 0.18932103 535.36564
## 250 0.19009266 0.18792520 538.21068
## 290 0.18742214 0.18524753 543.66844
## 259 0.18470097 0.18251908 549.22971
## 231 0.17771220 0.17551161 563.51267
## 286 0.17015766 0.16793685 578.95192
## 249 0.16578450 0.16355199 587.88937
## 256 0.15756609 0.15531158 604.68536
## 284 0.15394778 0.15168359 612.08011
## 281 0.13396365 0.13164598 652.92174
## 252 0.11639998 0.11403531 688.81668
## 358 0.42103843 0.41897071 68.22595
## 307 0.41649101 0.41440705 77.51951
## 478 0.41526252 0.41317417 80.03019
## 373 0.41194470 0.40984451 86.81083
## 590 0.41162215 0.40952080 87.47004
## 351 0.41024432 0.40813805 90.28590
## 364 0.41019532 0.40808888 90.38605
## 617 0.41017372 0.40806720 90.43019
## 376 0.40976615 0.40765817 91.26314
## 378 0.40833095 0.40621785 94.19627
## 379 0.40753376 0.40541781 95.82549
## 631 0.40682962 0.40471115 97.26454
## 369 0.40600158 0.40388015 98.95682
## 626 0.40424710 0.40211941 102.54246
## 484 0.40404563 0.40191722 102.95419
## 493 0.40367597 0.40154624 103.70968
## 629 0.40366332 0.40153355 103.73552
## 496 0.40244273 0.40030859 106.23005
## 499 0.40233668 0.40020217 106.44679
## 471 0.40212488 0.39998961 106.87964
## 498 0.40164904 0.39951207 107.85212
## 489 0.40138956 0.39925166 108.38242
## 605 0.39931426 0.39716895 112.62371
## 632 0.39845606 0.39630769 114.37762
## 622 0.39838863 0.39624002 114.51542
## 611 0.39827468 0.39612566 114.74831
## 641 0.39811473 0.39596514 115.07519
## 647 0.39774319 0.39559228 115.83451
## 596 0.39726890 0.39511629 116.80382
## 608 0.39717903 0.39502610 116.98749
## 601 0.39627448 0.39411832 118.83612
## 644 0.39611365 0.39395692 119.16481
## 610 0.39581060 0.39365278 119.78416
## 637 0.39536344 0.39320403 120.69801
## 662 0.39447656 0.39231398 122.51054
## 667 0.39308134 0.39091377 125.36196
## 663 0.39275531 0.39058658 126.02826
## 660 0.39257666 0.39040729 126.39337
## 665 0.39233495 0.39016472 126.88736
## 646 0.39195977 0.38978820 127.65410
## 666 0.39103339 0.38885851 129.54736
## 651 0.39102835 0.38885345 129.55766
## 656 0.39058483 0.38840834 130.46409
## 654 0.38906878 0.38688688 133.56244
## 340 0.38773401 0.38554735 136.29031
## 425 0.38767594 0.38548907 136.40899
## 657 0.38567287 0.38347884 140.50268
## 413 0.38520211 0.38300640 141.46478
## 440 0.38508267 0.38288654 141.70886
## 322 0.38467092 0.38247332 142.55036
## 545 0.38192842 0.37972102 148.15522
## 735 0.38186617 0.37965855 148.28244
## 461 0.38135669 0.37914725 149.32366
## 533 0.38134236 0.37913287 149.35296
## 427 0.38087197 0.37866080 150.31428
## 404 0.38061034 0.37839824 150.84898
## 328 0.37951327 0.37729724 153.09108
## 456 0.37873825 0.37651946 154.67498
## 560 0.37862235 0.37640314 154.91185
## 386 0.37852591 0.37630636 155.10895
## 685 0.37787380 0.37565192 156.44167
## 547 0.37644319 0.37421620 159.36541
## 342 0.37627421 0.37404662 159.71075
## 462 0.37591024 0.37368135 160.45460
## 450 0.37590381 0.37367489 160.46774
## 756 0.37573480 0.37350528 160.81315
## 337 0.37464070 0.37240728 163.04915
## 437 0.37455992 0.37232621 163.21424
## 581 0.37416393 0.37192880 164.02353
## 673 0.37415164 0.37191647 164.04866
## 333 0.37395625 0.37172038 164.44797
## 443 0.37370789 0.37147114 164.95554
## 433 0.37332505 0.37108693 165.73795
## 422 0.37273255 0.37049231 166.94885
## 343 0.37244723 0.37020597 167.53196
## 506 0.37203628 0.36979355 168.37183
## 570 0.37170712 0.36946322 169.04453
## 524 0.37165711 0.36941302 169.14674
## 777 0.37145219 0.36920738 169.56553
## 687 0.37110599 0.36885994 170.27305
## 553 0.37105226 0.36880602 170.38287
## 582 0.37080885 0.36856174 170.88032
## 315 0.37071652 0.36846908 171.06901
## 700 0.37068652 0.36843897 171.13033
## 732 0.37065785 0.36841020 171.18892
## 563 0.37053064 0.36828253 171.44891
## 765 0.37045474 0.36820637 171.60402
## 392 0.37036441 0.36811572 171.78862
## 576 0.37027875 0.36802975 171.96369
## 458 0.37001657 0.36776663 172.49951
## 771 0.36959633 0.36734489 173.35836
## 737 0.36958972 0.36733825 173.37188
## 442 0.36871321 0.36645861 175.16320
## 557 0.36823245 0.36597613 176.14573
## 406 0.36808187 0.36582502 176.45346
## 728 0.36805021 0.36579325 176.51816
## 401 0.36784261 0.36558490 176.94245
## 542 0.36768462 0.36542635 177.26532
## 463 0.36762330 0.36536481 177.39065
## 721 0.36758791 0.36532929 177.46298
## 452 0.36709333 0.36483295 178.47374
## 738 0.36696074 0.36469989 178.74472
## 418 0.36679718 0.36453574 179.07899
## 300 0.36673929 0.36447764 179.19731
## 722 0.36648301 0.36422045 179.72105
## 397 0.36640025 0.36413740 179.89019
## 710 0.36620902 0.36394548 180.28101
## 776 0.36604013 0.36377599 180.62617
## 407 0.36602596 0.36376176 180.65514
## 538 0.36569393 0.36342855 181.33370
## 716 0.36537379 0.36310727 181.98798
## 428 0.36518470 0.36291750 182.37443
## 751 0.36516879 0.36290153 182.40694
## 572 0.36443031 0.36216042 183.91616
## 682 0.36422726 0.36195664 184.33115
## 512 0.36422559 0.36195497 184.33456
## 562 0.36403053 0.36175921 184.73321
## 583 0.36398307 0.36171158 184.83021
## 793 0.36367445 0.36140185 185.46094
## 753 0.36333083 0.36105701 186.16318
## 703 0.36324805 0.36097394 186.33236
## 548 0.36322838 0.36095420 186.37256
## 790 0.36305070 0.36077588 186.73569
## 447 0.36300224 0.36072724 186.83473
## 578 0.36287279 0.36059734 187.09928
## 693 0.36256216 0.36028559 187.73412
## 786 0.36252583 0.36024914 187.80836
## 459 0.36225782 0.35998017 188.35610
## 745 0.36173940 0.35945990 189.41559
## 774 0.36169626 0.35941660 189.50376
## 517 0.36158145 0.35930138 189.73841
## 678 0.36128497 0.35900384 190.34432
## 762 0.36125937 0.35897815 190.39664
## 526 0.36087947 0.35859689 191.17304
## 757 0.36062320 0.35833971 191.69678
## 697 0.36034632 0.35806184 192.26265
## 527 0.36030335 0.35801872 192.35046
## 352 0.35991190 0.35762587 193.15046
## 567 0.35953621 0.35724884 193.91827
## 688 0.35946936 0.35718175 194.05488
## 747 0.35923622 0.35694778 194.53135
## 521 0.35877190 0.35648180 195.48029
## 723 0.35844914 0.35615788 196.13992
## 758 0.35828285 0.35599101 196.47975
## 778 0.35820602 0.35591390 196.63678
## 579 0.35775828 0.35546456 197.55182
## 712 0.35760923 0.35531498 197.85644
## 768 0.35733714 0.35504191 198.41251
## 303 0.35724629 0.35495074 198.59819
## 767 0.35686928 0.35457238 199.36868
## 718 0.35669945 0.35440195 199.71575
## 773 0.35580267 0.35350197 201.54851
## 791 0.35562466 0.35332332 201.91231
## 781 0.35560060 0.35329918 201.96148
## 344 0.35517230 0.35286934 202.83681
## 702 0.35514113 0.35283807 202.90050
## 453 0.35487735 0.35257334 203.43959
## 707 0.35480435 0.35250008 203.58878
## 573 0.35445788 0.35215237 204.29687
## 719 0.35429275 0.35198666 204.63433
## 354 0.35383078 0.35152303 205.57848
## 356 0.35308423 0.35077382 207.10419
## 792 0.35256262 0.35025034 208.17021
## 783 0.35194760 0.34963313 209.42714
## 301 0.35193575 0.34962123 209.45136
## 787 0.35088543 0.34856716 211.59790
## 360 0.34975528 0.34743298 213.90758
## 713 0.34952326 0.34720012 214.38178
## 304 0.34794476 0.34561599 217.60776
## 305 0.34693789 0.34460553 219.66550
## 788 0.34679138 0.34445849 219.96492
## 742 0.34642500 0.34409081 220.71368
## 355 0.34530948 0.34297130 222.99349
## 347 0.34523179 0.34289333 223.15226
## 754 0.34459050 0.34224975 224.46287
## 371 0.34303271 0.34068640 227.64652
## 472 0.34288962 0.34054280 227.93896
## 299 0.34201675 0.33966681 229.72284
## 302 0.34015694 0.33780036 233.52374
## 306 0.33892346 0.33656247 236.04462
## 748 0.33862300 0.33626094 236.65866
## 361 0.33838990 0.33602700 237.13506
## 370 0.33792983 0.33556529 238.07530
## 784 0.33667736 0.33430835 240.63498
## 316 0.33615442 0.33378355 241.70371
## 410 0.33596544 0.33359389 242.08993
## 319 0.33529386 0.33291991 243.46244
## 345 0.33480807 0.33243238 244.45526
## 476 0.33344005 0.33105948 247.25109
## 348 0.33281604 0.33043324 248.52637
## 363 0.33262849 0.33024502 248.90967
## 325 0.33220423 0.32981925 249.77673
## 359 0.33142284 0.32903507 251.37366
## 464 0.33140264 0.32901479 251.41495
## 349 0.33107637 0.32868736 252.08174
## 374 0.33035219 0.32796059 253.56176
## 474 0.33003219 0.32763945 254.21574
## 353 0.32901506 0.32661868 256.29446
## 365 0.32899549 0.32659905 256.33445
## 372 0.32882964 0.32643260 256.67340
## 362 0.32863912 0.32624140 257.06276
## 584 0.32846244 0.32606409 257.42385
## 320 0.32824977 0.32585066 257.85849
## 357 0.32774577 0.32534486 258.88850
## 613 0.32697737 0.32457372 260.45889
## 480 0.32657826 0.32417319 261.27454
## 409 0.32598554 0.32357835 262.48589
## 423 0.32591658 0.32350914 262.62683
## 334 0.32582016 0.32341237 262.82389
## 434 0.32547721 0.32306820 263.52476
## 338 0.32495072 0.32253983 264.60076
## 350 0.32484147 0.32243019 264.82404
## 346 0.32445094 0.32203826 265.62216
## 324 0.32406408 0.32165003 266.41278
## 475 0.32330235 0.32088558 267.96953
## 586 0.32317415 0.32075691 268.23155
## 383 0.32261964 0.32020042 269.36480
## 588 0.32218708 0.31976632 270.24882
## 377 0.32192524 0.31950354 270.78395
## 367 0.32049373 0.31806692 273.70953
## 318 0.31974296 0.31731347 275.24387
## 380 0.31936424 0.31693340 276.01787
## 614 0.31826169 0.31582691 278.27115
## 530 0.31804664 0.31561109 278.71065
## 481 0.31672054 0.31428026 281.42081
## 491 0.31650145 0.31406038 281.86857
## 335 0.31598052 0.31353760 282.93318
## 375 0.31593099 0.31348789 283.03441
## 411 0.31556065 0.31311622 283.79128
## 479 0.31554854 0.31310407 283.81603
## 366 0.31554649 0.31310201 283.82023
## 454 0.31549531 0.31305065 283.92481
## 323 0.31537348 0.31292838 284.17381
## 483 0.31521473 0.31276907 284.49824
## 467 0.31503555 0.31258925 284.86442
## 312 0.31494241 0.31249577 285.05479
## 420 0.31470878 0.31226131 285.53226
## 419 0.31436484 0.31191615 286.23516
## 615 0.31433691 0.31188811 286.29224
## 308 0.31408950 0.31163982 286.79788
## 330 0.31408790 0.31163821 286.80115
## 389 0.31407800 0.31162828 286.82137
## 384 0.31380592 0.31135523 287.37742
## 587 0.31347602 0.31102415 288.05165
## 430 0.31286549 0.31041143 289.29940
## 398 0.31258797 0.31013293 289.86655
## 624 0.31243668 0.30998110 290.17574
## 439 0.31197411 0.30951688 291.12110
## 465 0.31192742 0.30947002 291.21652
## 327 0.31191798 0.30946055 291.23581
## 473 0.31131602 0.30885643 292.46606
## 592 0.31120104 0.30874104 292.70103
## 339 0.31016374 0.30770004 294.82096
## 438 0.30974831 0.30728313 295.66998
## 490 0.30869613 0.30622719 297.82032
## 477 0.30856930 0.30609991 298.07953
## 382 0.30843608 0.30596621 298.35179
## 408 0.30843430 0.30596442 298.35543
## 402 0.30833569 0.30586546 298.55695
## 482 0.30825939 0.30578889 298.71289
## 326 0.30765216 0.30517949 299.95388
## 529 0.30762111 0.30514833 300.01734
## 612 0.30751294 0.30503977 300.23841
## 429 0.30748580 0.30501254 300.29387
## 388 0.30694960 0.30447442 301.38971
## 616 0.30630454 0.30382706 302.70802
## 485 0.30569497 0.30321531 303.95381
## 494 0.30545158 0.30297105 304.45122
## 436 0.30528607 0.30280495 304.78948
## 412 0.30512124 0.30263953 305.12635
## 469 0.30500337 0.30252124 305.36723
## 543 0.30473206 0.30224896 305.92171
## 309 0.30463265 0.30214920 306.12488
## 603 0.30407184 0.30158638 307.27100
## 468 0.30382649 0.30134016 307.77242
## 492 0.30366600 0.30117909 308.10042
## 331 0.30346944 0.30098184 308.50212
## 435 0.30338310 0.30089518 308.67858
## 329 0.30290059 0.30041095 309.66469
## 311 0.30281082 0.30032086 309.84815
## 638 0.30262376 0.30013313 310.23045
## 640 0.30236511 0.29987356 310.75906
## 317 0.30230081 0.29980903 310.89047
## 627 0.30216368 0.29967141 311.17071
## 670 0.30210311 0.29961062 311.29450
## 487 0.30166324 0.29916918 312.19347
## 497 0.30142793 0.29893303 312.67437
## 554 0.30140341 0.29890843 312.72448
## 633 0.30112235 0.29862636 313.29889
## 466 0.30107941 0.29858326 313.38665
## 399 0.30092246 0.29842576 313.70740
## 585 0.30080063 0.29830349 313.95639
## 500 0.30070886 0.29821139 314.14394
## 341 0.30002954 0.29752964 315.53228
## 531 0.29999521 0.29749519 315.60244
## 470 0.29978286 0.29728208 316.03642
## 589 0.29877157 0.29626718 318.10319
## 448 0.29840205 0.29589634 318.85838
## 595 0.29836500 0.29585916 318.93409
## 368 0.29836351 0.29585767 318.93713
## 313 0.29827720 0.29577104 319.11354
## 593 0.29796689 0.29545963 319.74771
## 460 0.29768563 0.29517737 320.32252
## 602 0.29768368 0.29517541 320.32651
## 394 0.29765348 0.29514510 320.38823
## 639 0.29711578 0.29460548 321.48713
## 336 0.29710739 0.29459706 321.50427
## 321 0.29690486 0.29439380 321.91819
## 729 0.29687188 0.29436071 321.98559
## 528 0.29664106 0.29412906 322.45732
## 591 0.29654933 0.29403701 322.64478
## 550 0.29651718 0.29400474 322.71050
## 503 0.29635700 0.29384398 323.03786
## 604 0.29531008 0.29279333 325.17745
## 597 0.29528558 0.29276874 325.22751
## 403 0.29525704 0.29274010 325.28584
## 387 0.29492786 0.29240974 325.95860
## 444 0.29451538 0.29199579 326.80159
## 486 0.29433717 0.29181694 327.16579
## 559 0.29369664 0.29117413 328.47484
## 391 0.29310880 0.29058419 329.67621
## 415 0.29284354 0.29031798 330.21832
## 495 0.29281491 0.29028925 330.27684
## 540 0.29270500 0.29017895 330.50145
## 683 0.29262690 0.29010057 330.66108
## 669 0.29260020 0.29007378 330.71563
## 416 0.29221854 0.28969075 331.49564
## 445 0.29176164 0.28923222 332.42940
## 455 0.29162589 0.28909598 332.70685
## 532 0.29151185 0.28898153 332.93991
## 504 0.29147171 0.28894125 333.02194
## 310 0.29125646 0.28872523 333.46184
## 623 0.29087634 0.28834375 334.23870
## 549 0.29081804 0.28828525 334.35784
## 509 0.28996771 0.28743188 336.09567
## 457 0.28970650 0.28716974 336.62950
## 733 0.28968977 0.28715295 336.66369
## 424 0.28968159 0.28714474 336.68042
## 606 0.28930203 0.28676382 337.45612
## 643 0.28920480 0.28666625 337.65483
## 426 0.28914137 0.28660258 337.78447
## 539 0.28871221 0.28617190 338.66153
## 431 0.28863572 0.28609513 338.81787
## 393 0.28862907 0.28608846 338.83146
## 594 0.28850306 0.28596199 339.08899
## 558 0.28821065 0.28566854 339.68658
## 441 0.28794236 0.28539930 340.23489
## 620 0.28783514 0.28529169 340.45401
## 609 0.28761979 0.28507558 340.89412
## 574 0.28725467 0.28470915 341.64033
## 634 0.28722535 0.28467972 341.70025
## 381 0.28708645 0.28454033 341.98411
## 630 0.28680295 0.28425581 342.56351
## 390 0.28672804 0.28418064 342.71660
## 556 0.28649247 0.28394422 343.19804
## 658 0.28598481 0.28343476 344.23553
## 314 0.28580821 0.28325753 344.59645
## 599 0.28549785 0.28294606 345.23074
## 395 0.28483064 0.28227647 346.59431
## 400 0.28438951 0.28183376 347.49585
## 694 0.28437801 0.28182221 347.51937
## 432 0.28325462 0.28069481 349.81524
## 405 0.28321041 0.28065045 349.90559
## 642 0.28317508 0.28061499 349.97779
## 661 0.28272766 0.28016597 350.89219
## 680 0.28236543 0.27980245 351.63248
## 645 0.28234233 0.27977927 351.67968
## 671 0.28225492 0.27969154 351.85833
## 385 0.28216096 0.27959725 352.05034
## 725 0.28215944 0.27959572 352.05346
## 508 0.28199170 0.27942738 352.39628
## 679 0.28122472 0.27865767 353.96374
## 649 0.28114841 0.27858108 354.11970
## 555 0.28103129 0.27846355 354.35906
## 502 0.28083719 0.27826875 354.75575
## 730 0.28065479 0.27808570 355.12851
## 488 0.28057526 0.27800589 355.29105
## 607 0.28050131 0.27793167 355.44219
## 522 0.28024149 0.27767092 355.97318
## 598 0.27972238 0.27714996 357.03410
## 518 0.27957921 0.27700628 357.32669
## 635 0.27945823 0.27688487 357.57392
## 734 0.27919446 0.27662015 358.11300
## 568 0.27855279 0.27597619 359.42439
## 507 0.27813285 0.27555476 360.28261
## 668 0.27800771 0.27542916 360.53837
## 636 0.27778502 0.27520568 360.99347
## 536 0.27748593 0.27490552 361.60473
## 759 0.27662249 0.27403900 363.36934
## 690 0.27659394 0.27401035 363.42769
## 618 0.27648052 0.27389652 363.65949
## 749 0.27629148 0.27370680 364.04584
## 332 0.27593104 0.27334508 364.78247
## 414 0.27590672 0.27332067 364.83217
## 699 0.27576421 0.27317765 365.12342
## 580 0.27565114 0.27306418 365.35450
## 770 0.27537076 0.27278280 365.92750
## 551 0.27530635 0.27271816 366.05914
## 535 0.27452075 0.27192975 367.66468
## 625 0.27442534 0.27183400 367.85966
## 511 0.27424572 0.27165374 368.22677
## 714 0.27381003 0.27121649 369.11719
## 672 0.27363325 0.27103908 369.47847
## 724 0.27328891 0.27069351 370.18220
## 689 0.27275704 0.27015975 371.26917
## 514 0.27260860 0.27001077 371.57256
## 561 0.27238224 0.26978361 372.03515
## 546 0.27237226 0.26977359 372.05555
## 769 0.27188942 0.26928902 373.04235
## 552 0.27165281 0.26905157 373.52589
## 519 0.27157530 0.26897378 373.68430
## 565 0.27128321 0.26868065 374.28124
## 421 0.27098222 0.26837858 374.89640
## 564 0.27038301 0.26777723 376.12100
## 696 0.27032730 0.26772133 376.23484
## 544 0.26906666 0.26645618 378.81123
## 731 0.26904239 0.26643183 378.86082
## 523 0.26781794 0.26520300 381.36324
## 698 0.26748735 0.26487123 382.03887
## 664 0.26708673 0.26446918 382.85762
## 600 0.26692797 0.26430986 383.18207
## 577 0.26676450 0.26414580 383.51615
## 501 0.26630169 0.26368134 384.46200
## 449 0.26560348 0.26298063 385.88894
## 619 0.26476717 0.26214133 387.59812
## 575 0.26475350 0.26212762 387.62605
## 652 0.26470998 0.26208395 387.71498
## 510 0.26451837 0.26189165 388.10658
## 515 0.26393953 0.26131074 389.28956
## 675 0.26350909 0.26087876 390.16926
## 676 0.26339075 0.26076000 390.41111
## 726 0.26318052 0.26054902 390.84076
## 628 0.26303953 0.26040753 391.12889
## 513 0.26265814 0.26002477 391.90835
## 695 0.26200270 0.25936699 393.24787
## 708 0.26197425 0.25933844 393.30602
## 659 0.26180468 0.25916827 393.65255
## 451 0.26167713 0.25904026 393.91323
## 648 0.26160901 0.25897190 394.05246
## 775 0.26144933 0.25881165 394.37879
## 720 0.26133922 0.25870115 394.60382
## 763 0.26100016 0.25836088 395.29675
## 525 0.26003677 0.25739405 397.26564
## 736 0.25987921 0.25723593 397.58764
## 704 0.25953804 0.25689353 398.28490
## 686 0.25914553 0.25649962 399.08707
## 505 0.25896474 0.25631819 399.45655
## 684 0.25886700 0.25622009 399.65632
## 534 0.25767265 0.25502148 402.09721
## 396 0.25761593 0.25496456 402.21312
## 760 0.25752499 0.25487329 402.39898
## 705 0.25747126 0.25481937 402.50879
## 772 0.25653792 0.25388270 404.41626
## 764 0.25617052 0.25351398 405.16712
## 715 0.25605570 0.25339875 405.40178
## 743 0.25597477 0.25331754 405.56717
## 520 0.25564504 0.25298663 406.24105
## 717 0.25518057 0.25252050 407.19028
## 755 0.25313483 0.25046746 411.37115
## 691 0.25283114 0.25016268 411.99182
## 701 0.25232971 0.24965946 413.01659
## 446 0.25182668 0.24915463 414.04463
## 655 0.25142263 0.24874914 414.87039
## 761 0.25097169 0.24829659 415.79198
## 692 0.25028322 0.24760566 417.19901
## 779 0.25026144 0.24758380 417.24353
## 541 0.24997232 0.24729365 417.83440
## 674 0.24952155 0.24684127 418.75564
## 789 0.24915807 0.24647649 419.49848
## 727 0.24765113 0.24496417 422.57823
## 571 0.24706487 0.24437581 423.77637
## 569 0.24703977 0.24435063 423.82766
## 650 0.24679757 0.24410756 424.32265
## 740 0.24445267 0.24175429 429.11492
## 681 0.24285850 0.24015443 432.37293
## 621 0.24159691 0.23888833 434.95125
## 752 0.24022792 0.23751445 437.74906
## 417 0.24003767 0.23732352 438.13787
## 516 0.23632919 0.23360179 445.71691
## 766 0.23328125 0.23054297 451.94600
## 709 0.23309419 0.23035524 452.32829
## 566 0.23304855 0.23030943 452.42158
## 711 0.22989255 0.22714217 458.87150
## 653 0.22929146 0.22653893 460.09995
## 537 0.22883936 0.22608521 461.02392
## 739 0.22587976 0.22311505 467.07245
## 785 0.22318074 0.22040639 472.58845
## 706 0.22292185 0.22014657 473.11754
## 750 0.22076817 0.21798520 477.51902
## 677 0.21605921 0.21325942 487.14275
## 782 0.21568103 0.21287989 487.91564
## 746 0.21109340 0.20827588 497.29139
## 780 0.19899715 0.19613643 522.01254
## 744 0.19157825 0.18869103 537.17458
## 741 0.16799567 0.16502423 585.37039
## 808 0.43490379 0.43237879 41.88925
## 920 0.43036148 0.42781618 51.17240
## 947 0.42961452 0.42706588 52.69896
## 956 0.42898033 0.42642885 53.99506
## 961 0.42841278 0.42585877 55.15495
## 959 0.42783864 0.42528207 56.32832
## 823 0.42537437 0.42280679 61.36456
## 1157 0.42370622 0.42113118 64.77377
## 826 0.42358848 0.42101291 65.01440
## 1130 0.42253941 0.41995916 67.15839
## 952 0.42200592 0.41942328 68.24869
## 1171 0.42196487 0.41938205 68.33257
## 814 0.42195372 0.41937085 68.35536
## 962 0.42190462 0.41932153 68.45571
## 829 0.42173259 0.41914873 68.80729
## 1166 0.42128518 0.41869932 69.72167
## 819 0.42112042 0.41853383 70.05838
## 828 0.42111210 0.41852547 70.07539
## 1169 0.42089451 0.41830690 70.52008
## 801 0.42034896 0.41775891 71.63503
## 935 0.42034307 0.41775300 71.64705
## 971 0.41977755 0.41718495 72.80282
## 990 0.41899016 0.41639405 74.41200
## 1339 0.41868809 0.41609063 75.02934
## 1348 0.41859894 0.41600108 75.21155
## 992 0.41843103 0.41583242 75.55470
## 1353 0.41799880 0.41539826 76.43805
## 938 0.41778935 0.41518787 76.86610
## 1351 0.41749179 0.41488898 77.47424
## 974 0.41733107 0.41472754 77.80269
## 993 0.41721308 0.41460902 78.04384
## 1162 0.41689704 0.41429158 78.68971
## 941 0.41672839 0.41412218 79.03438
## 977 0.41669033 0.41408394 79.11217
## 1398 0.41668293 0.41407650 79.12730
## 1172 0.41643890 0.41383139 79.62601
## 981 0.41612415 0.41351523 80.26928
## 995 0.41581000 0.41319968 80.91131
## 1401 0.41566896 0.41305801 81.19955
## 926 0.41530693 0.41269436 81.93943
## 931 0.41529248 0.41267984 81.96897
## 967 0.41499156 0.41237759 82.58395
## 940 0.41498070 0.41236667 82.60615
## 996 0.41495263 0.41233848 82.66351
## 997 0.41445239 0.41183600 83.68586
## 1419 0.41380853 0.41118927 85.00171
## 984 0.41363973 0.41101971 85.34669
## 1344 0.41339808 0.41077699 85.84055
## 1403 0.41334266 0.41072131 85.95382
## 1354 0.41332035 0.41069890 85.99942
## 1422 0.41269189 0.41006763 87.28381
## 986 0.41268855 0.41006428 87.29062
## 976 0.41255736 0.40993251 87.55873
## 1404 0.41198748 0.40936008 88.72339
## 1394 0.41183503 0.40920695 89.03496
## 1181 0.41169082 0.40906209 89.32970
## 1187 0.41131306 0.40868264 90.10173
## 1145 0.41037586 0.40774125 92.01709
## 1417 0.41017033 0.40753481 92.43711
## 1177 0.41010112 0.40746529 92.57856
## 1184 0.41009211 0.40745624 92.59699
## 1203 0.40984978 0.40721282 93.09224
## 1202 0.40968362 0.40704592 93.43182
## 1200 0.40968295 0.40704525 93.43318
## 1151 0.40942797 0.40678913 93.95428
## 1191 0.40923750 0.40659781 94.34354
## 987 0.40911195 0.40647170 94.60013
## 1148 0.40870133 0.40605925 95.43931
## 1207 0.40856034 0.40591763 95.72746
## 1206 0.40847612 0.40583302 95.89959
## 1141 0.40842303 0.40577970 96.00808
## 1424 0.40835662 0.40571300 96.14380
## 1413 0.40815477 0.40551024 96.55633
## 1205 0.40799358 0.40534833 96.88576
## 1136 0.40774011 0.40509373 97.40376
## 1194 0.40765115 0.40500437 97.58558
## 1196 0.40729285 0.40464448 98.31783
## 1385 0.40689064 0.40424047 99.13983
## 1150 0.40674408 0.40409325 99.43936
## 1363 0.40610591 0.40345223 100.74359
## 1186 0.40605661 0.40340270 100.84435
## 1369 0.40594512 0.40329072 101.07220
## 1408 0.40580507 0.40315004 101.35843
## 1440 0.40575646 0.40310121 101.45777
## 1420 0.40575456 0.40309930 101.46165
## 1382 0.40558357 0.40292755 101.81110
## 875 0.40548557 0.40282912 102.01138
## 1373 0.40537320 0.40271624 102.24104
## 1384 0.40506099 0.40240263 102.87911
## 1423 0.40499290 0.40233424 103.01826
## 1411 0.40495429 0.40229546 103.09716
## 1388 0.40464784 0.40198764 103.72346
## 1197 0.40460639 0.40194601 103.80816
## 1389 0.40419770 0.40153549 104.64342
## 1437 0.40400556 0.40134249 105.03608
## 1428 0.40386782 0.40120414 105.31759
## 1065 0.40386439 0.40120069 105.32460
## 1366 0.40379304 0.40112903 105.47040
## 1359 0.40378073 0.40111665 105.49558
## 1443 0.40365128 0.40098663 105.76012
## 1376 0.40287393 0.40020580 107.34881
## 1387 0.40256335 0.39989384 107.98354
## 1378 0.40194880 0.39927654 109.23950
## 1458 0.40173416 0.39906094 109.67816
## 1431 0.40152887 0.39885474 110.09771
## 1086 0.40099597 0.39831945 111.18680
## 1439 0.40087167 0.39819460 111.44082
## 1456 0.40075634 0.39807875 111.67653
## 1379 0.40052870 0.39785009 112.14177
## 1444 0.40040258 0.39772342 112.39950
## 1015 0.40023680 0.39755689 112.73831
## 863 0.39987664 0.39719513 113.47436
## 1434 0.39977330 0.39709132 113.68557
## 1449 0.39974395 0.39706184 113.74556
## 1368 0.39951937 0.39683626 114.20452
## 1459 0.39949371 0.39681048 114.25698
## 1414 0.39921801 0.39653355 114.82043
## 1457 0.39903997 0.39635471 115.18428
## 890 0.39865555 0.39596858 115.96991
## 1442 0.39863949 0.39595245 116.00274
## 1433 0.39789694 0.39520658 117.52030
## 1275 0.39775185 0.39506084 117.81681
## 877 0.39753363 0.39484165 118.26279
## 1447 0.39750078 0.39480865 118.32992
## 1452 0.39727884 0.39458572 118.78350
## 911 0.39658631 0.39389009 120.19883
## 906 0.39606084 0.39336227 121.27274
## 1081 0.39536047 0.39265877 122.70409
## 1454 0.39488209 0.39217826 123.68175
## 900 0.39483156 0.39212750 123.78503
## 1450 0.39471261 0.39200802 124.02813
## 1296 0.39415259 0.39144550 125.17263
## 1101 0.39393379 0.39122572 125.61979
## 912 0.39385405 0.39114562 125.78277
## 1062 0.39349556 0.39078553 126.51541
## 854 0.39305653 0.39034454 127.41266
## 1453 0.39278777 0.39007458 127.96193
## 872 0.39271374 0.39000022 128.11321
## 1107 0.39267093 0.38995722 128.20071
## 1003 0.39261161 0.38989764 128.32193
## 1095 0.39221900 0.38950326 129.12433
## 836 0.39209985 0.38938358 129.36784
## 1225 0.39168030 0.38896216 130.22527
## 1471 0.39165627 0.38893802 130.27437
## 1017 0.39141639 0.38869707 130.76462
## 1030 0.39094525 0.38822383 131.72749
## 1067 0.39092813 0.38820663 131.76248
## 1120 0.39087972 0.38815800 131.86142
## 1046 0.39023068 0.38750606 133.18786
## 1075 0.39018703 0.38746222 133.27707
## 1083 0.38992559 0.38719961 133.81137
## 1051 0.38964011 0.38691285 134.39481
## 1492 0.38959553 0.38686808 134.48592
## 1087 0.38912510 0.38639554 135.44734
## 883 0.38907208 0.38634229 135.55569
## 1106 0.38906866 0.38633885 135.56268
## 887 0.38900518 0.38627509 135.69241
## 1058 0.38898220 0.38625201 135.73938
## 868 0.38866575 0.38593414 136.38611
## 1123 0.38845600 0.38572346 136.81477
## 1040 0.38834256 0.38560950 137.04663
## 893 0.38829431 0.38556104 137.14523
## 1052 0.38825583 0.38552239 137.22387
## 1116 0.38789535 0.38516030 137.96058
## 1542 0.38787940 0.38514428 137.99317
## 1012 0.38780748 0.38507204 138.14016
## 1068 0.38780156 0.38506609 138.15226
## 1272 0.38765546 0.38491934 138.45084
## 1291 0.38757885 0.38484239 138.60740
## 1305 0.38738719 0.38464987 138.99911
## 1317 0.38713633 0.38439789 139.51179
## 1547 0.38702192 0.38428297 139.74560
## 1213 0.38661109 0.38387030 140.58523
## 878 0.38650712 0.38376587 140.79771
## 908 0.38641552 0.38367386 140.98492
## 1277 0.38633323 0.38359119 141.15310
## 1268 0.38618163 0.38343892 141.46292
## 804 0.38607424 0.38333105 141.68239
## 802 0.38574530 0.38300065 142.35464
## 1311 0.38556727 0.38282181 142.71849
## 1285 0.38556117 0.38281569 142.73096
## 1111 0.38551268 0.38276698 142.83006
## 1536 0.38533576 0.38258927 143.19163
## 902 0.38523848 0.38249155 143.39044
## 1121 0.38514043 0.38239307 143.59083
## 1548 0.38457531 0.38182542 144.74577
## 1487 0.38456295 0.38181301 144.77101
## 913 0.38454760 0.38179759 144.80238
## 1227 0.38440294 0.38165228 145.09803
## 1278 0.38434716 0.38159625 145.21204
## 1077 0.38406938 0.38131723 145.77974
## 897 0.38392280 0.38116999 146.07930
## 1297 0.38381285 0.38105956 146.30400
## 1092 0.38370073 0.38094694 146.53314
## 1104 0.38359395 0.38083967 146.75138
## 892 0.38355313 0.38079867 146.83480
## 1293 0.38328666 0.38053102 147.37938
## 1088 0.38303311 0.38027633 147.89757
## 1008 0.38283644 0.38007879 148.29949
## 1240 0.38283042 0.38007273 148.31181
## 806 0.38264335 0.37988483 148.69411
## 1326 0.38241117 0.37965161 149.16862
## 842 0.38234855 0.37958871 149.29660
## 1561 0.38233926 0.37957938 149.31558
## 1333 0.38222687 0.37946649 149.54527
## 909 0.38212784 0.37936702 149.74766
## 1316 0.38211269 0.37935180 149.77862
## 1481 0.38176195 0.37899949 150.49544
## 1330 0.38159728 0.37883409 150.83197
## 1468 0.38158631 0.37882307 150.85438
## 851 0.38130577 0.37854127 151.42774
## 1027 0.38129554 0.37853100 151.44864
## 1018 0.38111908 0.37835375 151.80927
## 847 0.38110426 0.37833886 151.83956
## 1250 0.38109718 0.37833175 151.85403
## 1513 0.38086031 0.37809382 152.33813
## 1033 0.38084811 0.37808157 152.36305
## 1287 0.38074483 0.37797783 152.57413
## 856 0.38072374 0.37795664 152.61724
## 1023 0.38064289 0.37787543 152.78246
## 1261 0.38052576 0.37775778 153.02183
## 1493 0.38050110 0.37773301 153.07224
## 943 0.38033243 0.37756359 153.41694
## 1262 0.38031197 0.37754303 153.45876
## 805 0.38020562 0.37743621 153.67611
## 1501 0.38010464 0.37733478 153.88248
## 1048 0.37971621 0.37694461 154.67632
## 857 0.37971521 0.37694361 154.67837
## 1103 0.37970997 0.37693834 154.68908
## 1473 0.37961568 0.37684363 154.88178
## 1256 0.37936993 0.37659678 155.38402
## 1464 0.37930337 0.37652993 155.52005
## 1222 0.37928995 0.37651645 155.54747
## 1302 0.37912340 0.37634915 155.88785
## 1489 0.37910149 0.37632714 155.93263
## 1298 0.37902529 0.37625061 156.08835
## 1117 0.37899513 0.37622031 156.15000
## 1321 0.37896229 0.37618732 156.21712
## 1507 0.37883378 0.37605823 156.47976
## 1577 0.37878483 0.37600907 156.57978
## 1557 0.37868127 0.37590505 156.79143
## 1108 0.37866372 0.37588742 156.82730
## 794 0.37855865 0.37578188 157.04204
## 1122 0.37851312 0.37573614 157.13509
## 1113 0.37848314 0.37570603 157.19634
## 1314 0.37824013 0.37546194 157.69299
## 1567 0.37822675 0.37544850 157.72033
## 1053 0.37813631 0.37535765 157.90518
## 1564 0.37803780 0.37525870 158.10650
## 1474 0.37800587 0.37522663 158.17174
## 1097 0.37796395 0.37518452 158.25741
## 1037 0.37792977 0.37515019 158.32727
## 916 0.37789728 0.37511755 158.39368
## 1042 0.37779861 0.37501845 158.59532
## 1331 0.37777998 0.37499973 158.63340
## 1098 0.37773823 0.37495779 158.71873
## 1218 0.37749440 0.37471287 159.21704
## 1529 0.37740192 0.37461998 159.40604
## 903 0.37711608 0.37433286 159.99022
## 1049 0.37709469 0.37431138 160.03393
## 1544 0.37706865 0.37428522 160.08715
## 1072 0.37670957 0.37392454 160.82100
## 1522 0.37652789 0.37374205 161.19230
## 1526 0.37628172 0.37349478 161.69540
## 1233 0.37606896 0.37328107 162.13021
## 1579 0.37586963 0.37308084 162.53760
## 1483 0.37571527 0.37292579 162.85306
## 954 0.37567767 0.37288803 162.92990
## 1533 0.37557135 0.37278124 163.14718
## 1243 0.37554583 0.37275560 163.19934
## 1308 0.37548151 0.37269099 163.33080
## 1228 0.37509381 0.37230156 164.12314
## 1573 0.37500245 0.37220979 164.30986
## 1084 0.37498562 0.37219288 164.34426
## 1307 0.37493346 0.37214049 164.45084
## 1327 0.37492444 0.37213143 164.46929
## 1032 0.37492410 0.37213109 164.46998
## 1517 0.37478988 0.37199627 164.74428
## 1318 0.37478521 0.37199158 164.75381
## 1527 0.37463676 0.37184247 165.05721
## 1572 0.37460188 0.37180743 165.12849
## 1512 0.37455964 0.37176500 165.21483
## 810 0.37455411 0.37175944 165.22613
## 1494 0.37453714 0.37174240 165.26081
## 1545 0.37432353 0.37152784 165.69736
## 1576 0.37424140 0.37144534 165.86521
## 1538 0.37399068 0.37119350 166.37761
## 914 0.37340102 0.37060120 167.58270
## 1323 0.37321196 0.37041130 167.96909
## 1549 0.37317240 0.37037156 168.04992
## 1237 0.37307650 0.37027524 168.24591
## 944 0.37296555 0.37016379 168.47266
## 1282 0.37296044 0.37015866 168.48311
## 1313 0.37273312 0.36993032 168.94769
## 1332 0.37240348 0.36959921 169.62137
## 1252 0.37225595 0.36945101 169.92289
## 1510 0.37220546 0.36940030 170.02607
## 1498 0.37204564 0.36923977 170.35269
## 1263 0.37183816 0.36903136 170.77672
## 918 0.37183044 0.36902361 170.79249
## 1585 0.37178047 0.36897341 170.89462
## 1118 0.37133464 0.36852559 171.80576
## 821 0.37130835 0.36849918 171.85950
## 1581 0.37108429 0.36827412 172.31740
## 1247 0.37074755 0.36793588 173.00561
## 820 0.37073104 0.36791929 173.03935
## 1043 0.37072604 0.36791427 173.04957
## 1523 0.37059023 0.36777786 173.32712
## 1294 0.37042059 0.36760745 173.67382
## 1258 0.37033330 0.36751977 173.85221
## 917 0.36989559 0.36708011 174.74676
## 1478 0.36984718 0.36703148 174.84570
## 1539 0.36968842 0.36687202 175.17015
## 1259 0.36912594 0.36630702 176.31970
## 803 0.36903010 0.36621076 176.51556
## 1552 0.36889270 0.36607274 176.79637
## 1328 0.36869372 0.36587286 177.20304
## 1242 0.36832942 0.36550695 177.94754
## 1504 0.36822434 0.36540139 178.16230
## 1528 0.36817499 0.36535183 178.26315
## 953 0.36794468 0.36512048 178.73384
## 1514 0.36789884 0.36507444 178.82752
## 1490 0.36789199 0.36506756 178.84152
## 1519 0.36787420 0.36504969 178.87788
## 797 0.36769342 0.36486810 179.24733
## 945 0.36768132 0.36485594 179.27208
## 1078 0.36768074 0.36485536 179.27326
## 1562 0.36764568 0.36482015 179.34490
## 1554 0.36763226 0.36480666 179.37234
## 957 0.36745035 0.36462394 179.74411
## 807 0.36738866 0.36456198 179.87018
## 1578 0.36724241 0.36441507 180.16908
## 1584 0.36693950 0.36411081 180.78813
## 1503 0.36686817 0.36403916 180.93392
## 1288 0.36661561 0.36378547 181.45007
## 1114 0.36655548 0.36372508 181.57295
## 1563 0.36652392 0.36369337 181.63746
## 1569 0.36645307 0.36362220 181.78226
## 1570 0.36631730 0.36348583 182.05972
## 1253 0.36598821 0.36315527 182.73229
## 811 0.36593060 0.36309740 182.85003
## 815 0.36554930 0.36271440 183.62928
## 1509 0.36530383 0.36246783 184.13096
## 822 0.36411342 0.36127210 186.56380
## 860 0.36384362 0.36100110 187.11519
## 1324 0.36320302 0.36035764 188.42438
## 1524 0.36318127 0.36033579 188.46885
## 968 0.36292369 0.36007705 188.99527
## 1484 0.36278600 0.35993876 189.27665
## 1558 0.36277679 0.35992950 189.29548
## 1574 0.36256183 0.35971359 189.73478
## 942 0.36228168 0.35943218 190.30733
## 824 0.36197803 0.35912717 190.92791
## 922 0.36191893 0.35906781 191.04869
## 809 0.36162588 0.35877345 191.64760
## 946 0.36134191 0.35848821 192.22796
## 813 0.36117740 0.35832297 192.56415
## 1559 0.36067857 0.35782191 193.58361
## 1153 0.36055659 0.35769938 193.83291
## 933 0.36000040 0.35714071 194.96959
## 932 0.35994344 0.35708349 195.08600
## 1520 0.35973688 0.35687601 195.50815
## 1582 0.35946339 0.35660130 196.06708
## 970 0.35890378 0.35603918 197.21077
## 873 0.35872568 0.35586029 197.57475
## 963 0.35845870 0.35559211 198.12038
## 798 0.35823082 0.35536322 198.58610
## 915 0.35780853 0.35493904 199.44914
## 988 0.35743947 0.35456834 200.20337
## 795 0.35725442 0.35438246 200.58157
## 812 0.35721307 0.35434092 200.66608
## 1583 0.35689045 0.35401686 201.32541
## 969 0.35653576 0.35366059 202.05029
## 919 0.35646275 0.35358725 202.19951
## 816 0.35606540 0.35318812 203.01157
## 948 0.35591951 0.35304158 203.30974
## 817 0.35591232 0.35303436 203.32441
## 827 0.35557215 0.35269266 204.01964
## 825 0.35498752 0.35210543 205.21444
## 799 0.35493073 0.35204838 205.33050
## 950 0.35484639 0.35196367 205.50287
## 955 0.35469788 0.35181449 205.80638
## 927 0.35469341 0.35181000 205.81551
## 859 0.35467404 0.35179055 205.85510
## 1059 0.35463221 0.35174853 205.94059
## 1154 0.35447203 0.35158763 206.26795
## 934 0.35444837 0.35156386 206.31631
## 960 0.35408606 0.35119994 207.05675
## 1124 0.35388115 0.35099411 207.47553
## 869 0.35359747 0.35070916 208.05530
## 1164 0.35316593 0.35027570 208.93723
## 796 0.35250612 0.34961293 210.28569
## 884 0.35243058 0.34953706 210.44006
## 1126 0.35217726 0.34928261 210.95778
## 991 0.35154316 0.34864568 212.25368
## 800 0.35147173 0.34857393 212.39967
## 979 0.35092807 0.34802784 213.51074
## 923 0.35079746 0.34789665 213.77767
## 1000 0.35031300 0.34741002 214.76776
## 1155 0.35030637 0.34740336 214.78132
## 1128 0.34985063 0.34694558 215.71272
## 1335 0.34983132 0.34692619 215.75218
## 833 0.34969882 0.34679309 216.02298
## 870 0.34882143 0.34591179 217.81609
## 936 0.34798340 0.34507001 219.52879
## 973 0.34796143 0.34504794 219.57369
## 1555 0.34785532 0.34494136 219.79054
## 904 0.34711709 0.34419983 221.29926
## 1013 0.34706806 0.34415058 221.39947
## 1079 0.34704604 0.34412846 221.44447
## 1152 0.34701978 0.34410208 221.49814
## 964 0.34701306 0.34409533 221.51187
## 949 0.34701070 0.34409296 221.51670
## 925 0.34676290 0.34384406 222.02312
## 1167 0.34633936 0.34341862 222.88872
## 1063 0.34631567 0.34339483 222.93713
## 958 0.34601003 0.34308782 223.56177
## 861 0.34597202 0.34304964 223.63946
## 921 0.34580300 0.34287987 223.98487
## 1346 0.34551795 0.34259354 224.56744
## 978 0.34527760 0.34235212 225.05864
## 1127 0.34527619 0.34235070 225.06152
## 989 0.34510076 0.34217449 225.42005
## 972 0.34509938 0.34217311 225.42286
## 1156 0.34503251 0.34210593 225.55954
## 880 0.34446346 0.34153434 226.72250
## 1009 0.34439614 0.34146673 226.86007
## 818 0.34357240 0.34063930 228.54357
## 830 0.34333861 0.34040447 229.02136
## 1163 0.34296310 0.34002727 229.78880
## 939 0.34250102 0.33956314 230.73314
## 937 0.34246520 0.33952716 230.80635
## 858 0.34245106 0.33951295 230.83524
## 928 0.34219710 0.33925786 231.35426
## 889 0.34207995 0.33914018 231.59369
## 999 0.34173515 0.33879384 232.29835
## 1336 0.34151402 0.33857172 232.75028
## 929 0.34135791 0.33841492 233.06932
## 924 0.34119344 0.33824971 233.40546
## 1055 0.34018240 0.33723415 235.47172
## 975 0.34008387 0.33713519 235.67307
## 865 0.33973977 0.33678954 236.37633
## 834 0.33973434 0.33678410 236.38741
## 888 0.33938821 0.33643642 237.09480
## 994 0.33928492 0.33633267 237.30589
## 1173 0.33909121 0.33613808 237.70179
## 879 0.33908268 0.33612952 237.71923
## 1395 0.33886855 0.33591443 238.15685
## 1178 0.33876397 0.33580938 238.37058
## 848 0.33875292 0.33579829 238.39315
## 862 0.33861033 0.33565506 238.68457
## 965 0.33853280 0.33557718 238.84302
## 1024 0.33853030 0.33557468 238.84811
## 1060 0.33838761 0.33543134 239.13974
## 1180 0.33827945 0.33532270 239.36078
## 1010 0.33823499 0.33527804 239.45164
## 982 0.33816387 0.33520661 239.59699
## 1064 0.33798299 0.33502491 239.96667
## 839 0.33776428 0.33480523 240.41364
## 894 0.33750273 0.33454251 240.94818
## 1089 0.33707150 0.33410935 241.82948
## 1396 0.33705580 0.33409358 241.86157
## 1337 0.33702686 0.33406451 241.92071
## 1132 0.33694094 0.33397821 242.09630
## 832 0.33692248 0.33395967 242.13403
## 1160 0.33691162 0.33394875 242.15623
## 966 0.33679153 0.33382813 242.40165
## 1345 0.33673217 0.33376851 242.52296
## 898 0.33643575 0.33347076 243.12876
## 874 0.33635021 0.33338484 243.30357
## 1349 0.33626427 0.33329852 243.47921
## 1125 0.33599774 0.33303079 244.02393
## 1100 0.33565020 0.33268170 244.73419
## 886 0.33548618 0.33251695 245.06940
## 1170 0.33508926 0.33211826 245.88059
## 1044 0.33486083 0.33188880 246.34744
## 1099 0.33475622 0.33178373 246.56123
## 1158 0.33416233 0.33118719 247.77495
## 910 0.33413182 0.33115653 247.83732
## 1269 0.33409354 0.33111809 247.91554
## 852 0.33391221 0.33093594 248.28613
## 866 0.33369738 0.33072016 248.72518
## 905 0.33360642 0.33062879 248.91107
## 1129 0.33344977 0.33047144 249.23121
## 1179 0.33325139 0.33027217 249.63666
## 1334 0.33309333 0.33011340 249.95968
## 885 0.33291979 0.32993909 250.31435
## 980 0.33276734 0.32978596 250.62591
## 1054 0.33221332 0.32922947 251.75815
## 1143 0.33216675 0.32918269 251.85333
## 1338 0.33170835 0.32872223 252.79018
## 1165 0.33159454 0.32860792 253.02277
## 1390 0.33113270 0.32814402 253.96662
## 1001 0.33085116 0.32786122 254.54202
## 838 0.33044600 0.32745425 255.37004
## 895 0.33020267 0.32720983 255.86734
## 876 0.33011396 0.32712073 256.04862
## 1198 0.33004999 0.32705647 256.17937
## 1397 0.32984560 0.32685117 256.59707
## 1210 0.32972478 0.32672981 256.84399
## 930 0.32968462 0.32668947 256.92606
## 1142 0.32946524 0.32646910 257.37442
## 951 0.32934412 0.32634744 257.62196
## 1073 0.32931499 0.32631819 257.68148
## 1174 0.32915223 0.32615469 258.01413
## 1061 0.32900174 0.32600354 258.32167
## 1137 0.32881481 0.32581577 258.70371
## 844 0.32880720 0.32580812 258.71926
## 1183 0.32879382 0.32579468 258.74661
## 1189 0.32838599 0.32538504 259.58008
## 1399 0.32827715 0.32527571 259.80251
## 1273 0.32800552 0.32500286 260.35766
## 1020 0.32790178 0.32489866 260.56966
## 1340 0.32778861 0.32478498 260.80096
## 1201 0.32765855 0.32465434 261.06675
## 1005 0.32763511 0.32463080 261.11467
## 1085 0.32737241 0.32436692 261.65155
## 1144 0.32717077 0.32416439 262.06363
## 1159 0.32692257 0.32391508 262.57087
## 1133 0.32689512 0.32388750 262.62698
## 1131 0.32684024 0.32383238 262.73914
## 1029 0.32680718 0.32379917 262.80671
## 907 0.32666824 0.32365961 263.09065
## 864 0.32657217 0.32356311 263.28700
## 1135 0.32656650 0.32355741 263.29858
## 998 0.32639742 0.32338757 263.64414
## 849 0.32634551 0.32333543 263.75023
## 1109 0.32621321 0.32320255 264.02060
## 1415 0.32617502 0.32316419 264.09865
## 1362 0.32613204 0.32312101 264.18649
## 1342 0.32612700 0.32311595 264.19680
## 1034 0.32582225 0.32280984 264.81962
## 1347 0.32580705 0.32279457 264.85067
## 985 0.32567833 0.32266527 265.11375
## 1355 0.32531508 0.32230041 265.85611
## 853 0.32522160 0.32220650 266.04717
## 1119 0.32494957 0.32193326 266.60310
## 1352 0.32490400 0.32188749 266.69623
## 1360 0.32487712 0.32186049 266.75118
## 1168 0.32463540 0.32161769 267.24518
## 1265 0.32462278 0.32160501 267.27097
## 1014 0.32454628 0.32152817 267.42731
## 1019 0.32379208 0.32077060 268.96867
## 881 0.32377361 0.32075205 269.00642
## 1223 0.32331417 0.32029055 269.94538
## 1182 0.32321969 0.32019565 270.13848
## 1045 0.32309894 0.32007435 270.38526
## 1289 0.32305532 0.32003054 270.47440
## 1002 0.32298001 0.31995490 270.62831
## 1028 0.32265053 0.31962395 271.30167
## 837 0.32258480 0.31955793 271.43599
## 1185 0.32222815 0.31919968 272.16489
## 1093 0.32206634 0.31903714 272.49559
## 1175 0.32205540 0.31902616 272.51794
## 1391 0.32195755 0.31892787 272.71792
## 1105 0.32177984 0.31874937 273.08109
## 1465 0.32175711 0.31872653 273.12756
## 831 0.32169907 0.31866824 273.24617
## 871 0.32161112 0.31857990 273.42590
## 1176 0.32143738 0.31840537 273.78099
## 1026 0.32142455 0.31839249 273.80720
## 1038 0.32139394 0.31836174 273.86977
## 1056 0.32128226 0.31824957 274.09799
## 891 0.32116270 0.31812947 274.34235
## 1146 0.32114052 0.31810719 274.38768
## 1274 0.32095097 0.31791679 274.77507
## 1400 0.32090098 0.31786658 274.87723
## 1209 0.32054176 0.31750576 275.61136
## 1050 0.32047851 0.31744222 275.74064
## 1188 0.32035047 0.31731361 276.00230
## 882 0.32029914 0.31726205 276.10721
## 843 0.32028879 0.31725165 276.12837
## 1070 0.31998695 0.31694846 276.74523
## 1006 0.31992784 0.31688909 276.86604
## 983 0.31965722 0.31661726 277.41911
## 1270 0.31954172 0.31650125 277.65515
## 1139 0.31937070 0.31632947 278.00466
## 1149 0.31924936 0.31620758 278.25265
## 841 0.31921363 0.31617169 278.32567
## 1361 0.31893637 0.31589319 278.89231
## 1069 0.31885221 0.31580866 279.06430
## 1380 0.31884433 0.31580074 279.08040
## 1066 0.31867425 0.31562990 279.42800
## 1383 0.31858280 0.31553804 279.61490
## 1199 0.31856113 0.31551627 279.65920
## 1090 0.31839474 0.31534914 279.99924
## 1134 0.31834693 0.31530112 280.09694
## 1392 0.31824222 0.31519594 280.31094
## 1094 0.31791823 0.31487050 280.97309
## 1341 0.31757974 0.31453050 281.66485
## 1371 0.31754282 0.31449341 281.74031
## 1138 0.31751832 0.31446881 281.79038
## 1299 0.31751383 0.31446430 281.79955
## 1402 0.31738727 0.31433717 282.05821
## 1025 0.31732910 0.31427874 282.17709
## 1192 0.31726648 0.31421584 282.30506
## 899 0.31718631 0.31413531 282.46892
## 1082 0.31703691 0.31398524 282.77424
## 1102 0.31700238 0.31395056 282.84482
## 1204 0.31699318 0.31394132 282.86361
## 1035 0.31694832 0.31389625 282.95530
## 1016 0.31677157 0.31371872 283.31652
## 835 0.31658707 0.31353339 283.69359
## 1264 0.31657713 0.31352341 283.71389
## 1147 0.31635182 0.31329709 284.17437
## 1219 0.31614570 0.31309005 284.59562
## 1004 0.31605467 0.31299861 284.78165
## 1350 0.31586637 0.31280947 285.16648
## 1080 0.31583329 0.31277624 285.23410
## 1406 0.31582246 0.31276536 285.25623
## 1436 0.31578220 0.31272493 285.33850
## 845 0.31553995 0.31248159 285.83360
## 850 0.31502072 0.31196005 286.89473
## 1047 0.31476974 0.31170795 287.40766
## 1425 0.31474217 0.31168025 287.46401
## 1418 0.31471218 0.31165013 287.52530
## 1485 0.31454608 0.31148329 287.86476
## 1310 0.31439761 0.31133415 288.16819
## 1365 0.31366827 0.31060155 289.65875
## 840 0.31363294 0.31056607 289.73094
## 1469 0.31354603 0.31047876 289.90857
## 1220 0.31353173 0.31046440 289.93780
## 1091 0.31288908 0.30981888 291.25118
## 1234 0.31246291 0.30939081 292.12214
## 855 0.31229046 0.30921759 292.47457
## 1356 0.31217131 0.30909790 292.71808
## 1211 0.31203750 0.30896349 292.99156
## 1438 0.31196008 0.30888573 293.14977
## 1161 0.31176603 0.30869081 293.54636
## 1435 0.31167998 0.30860437 293.72222
## 1271 0.31167331 0.30859768 293.73585
## 1011 0.31148898 0.30841253 294.11256
## 1370 0.31093249 0.30785354 295.24987
## 1381 0.31091622 0.30783720 295.28313
## 1309 0.31056372 0.30748313 296.00352
## 1283 0.31054930 0.30746865 296.03299
## 1540 0.31043709 0.30735593 296.26232
## 1208 0.31039500 0.30731366 296.34834
## 1426 0.31026901 0.30718710 296.60583
## 1190 0.31011201 0.30702940 296.92668
## 1057 0.30954418 0.30645903 298.08716
## 1461 0.30942524 0.30633956 298.33024
## 1393 0.30892069 0.30583276 299.36139
## 1230 0.30834335 0.30525284 300.54131
## 1266 0.30827492 0.30518411 300.68115
## 901 0.30813097 0.30503951 300.97534
## 1427 0.30797572 0.30488356 301.29263
## 1195 0.30740050 0.30430578 302.46821
## 1140 0.30702836 0.30393197 303.22876
## 1295 0.30702068 0.30392426 303.24444
## 1367 0.30653996 0.30344139 304.22690
## 896 0.30635280 0.30325340 304.60939
## 1470 0.30635049 0.30325108 304.61411
## 1466 0.30611903 0.30301858 305.08716
## 1364 0.30568687 0.30258449 305.97037
## 1239 0.30564038 0.30253779 306.06538
## 1212 0.30538919 0.30228548 306.57872
## 1254 0.30510856 0.30200360 307.15225
## 1409 0.30509973 0.30199473 307.17030
## 1303 0.30501564 0.30191026 307.34215
## 1021 0.30499135 0.30188586 307.39180
## 1358 0.30486855 0.30176251 307.64277
## 1386 0.30463787 0.30153080 308.11421
## 1357 0.30427607 0.30116739 308.85361
## 1215 0.30424211 0.30113327 308.92303
## 1421 0.30421237 0.30110340 308.98381
## 1276 0.30406569 0.30095606 309.28358
## 1031 0.30400336 0.30089346 309.41095
## 1229 0.30380716 0.30069638 309.81194
## 1530 0.30380598 0.30069520 309.81434
## 1115 0.30323076 0.30011740 310.98993
## 1315 0.30301064 0.29989630 311.43978
## 1374 0.30289701 0.29978216 311.67201
## 1319 0.30285882 0.29974381 311.75005
## 867 0.30263194 0.29951591 312.21373
## 1039 0.30258057 0.29946431 312.31871
## 1460 0.30253669 0.29942023 312.40841
## 1495 0.30249603 0.29937939 312.49150
## 1304 0.30213794 0.29901970 313.22332
## 1343 0.30194500 0.29882590 313.61764
## 1022 0.30194318 0.29882407 313.62135
## 1372 0.30189172 0.29877239 313.72651
## 1506 0.30094212 0.29781854 315.66722
## 1300 0.30090585 0.29778211 315.74134
## 1280 0.30087857 0.29775470 315.79710
## 1541 0.30081544 0.29769129 315.92612
## 1216 0.30034971 0.29722348 316.87794
## 1329 0.29969314 0.29656398 318.21976
## 1236 0.29966304 0.29653375 318.28128
## 1224 0.29929058 0.29615962 319.04249
## 1479 0.29912479 0.29599309 319.38130
## 1193 0.29903899 0.29590690 319.55666
## 1441 0.29881151 0.29567841 320.02155
## 1455 0.29872019 0.29558668 320.20819
## 1238 0.29863004 0.29549612 320.39244
## 1244 0.29832181 0.29518652 321.02235
## 1467 0.29826997 0.29513445 321.12831
## 1248 0.29816990 0.29503393 321.33281
## 1110 0.29814004 0.29500394 321.39385
## 1267 0.29790173 0.29476456 321.88088
## 1312 0.29763129 0.29449292 322.43358
## 1445 0.29741020 0.29427084 322.88542
## 1112 0.29695326 0.29381185 323.81927
## 1301 0.29682055 0.29367856 324.09048
## 1429 0.29640906 0.29326522 324.93146
## 1279 0.29632126 0.29317703 325.11089
## 846 0.29624458 0.29310001 325.26760
## 1491 0.29623018 0.29308554 325.29703
## 1292 0.29605038 0.29290494 325.66448
## 1534 0.29589194 0.29274579 325.98829
## 1096 0.29558490 0.29243738 326.61579
## 1260 0.29552764 0.29237986 326.73282
## 1226 0.29549403 0.29234610 326.80151
## 1505 0.29494177 0.29179138 327.93016
## 1430 0.29465548 0.29150381 328.51525
## 1405 0.29464551 0.29149379 328.53563
## 1036 0.29399562 0.29084100 329.86382
## 1377 0.29382608 0.29067070 330.21031
## 1546 0.29360814 0.29045179 330.65571
## 1255 0.29347086 0.29031390 330.93626
## 1074 0.29321323 0.29005511 331.46279
## 1076 0.29303079 0.28987185 331.83565
## 1245 0.29301054 0.28985152 331.87702
## 1416 0.29293032 0.28977094 332.04097
## 1235 0.29248729 0.28932593 332.94640
## 1214 0.29195691 0.28879317 334.03034
## 1041 0.29171267 0.28854785 334.52949
## 1462 0.29149099 0.28832517 334.98255
## 1476 0.29140169 0.28823548 335.16504
## 1515 0.29138377 0.28821748 335.20166
## 1290 0.29114713 0.28797978 335.68529
## 1525 0.28998786 0.28681533 338.05449
## 1475 0.28957825 0.28640389 338.89160
## 1531 0.28920033 0.28602428 339.66397
## 1412 0.28896622 0.28578912 340.14242
## 1257 0.28888801 0.28571057 340.30225
## 1565 0.28858980 0.28541102 340.91171
## 1432 0.28815651 0.28497579 341.79723
## 1575 0.28814362 0.28496285 341.82356
## 1007 0.28803035 0.28484907 342.05506
## 1472 0.28802662 0.28484533 342.06268
## 1448 0.28801077 0.28482941 342.09507
## 1231 0.28769327 0.28451049 342.74395
## 1488 0.28730376 0.28411923 343.54000
## 1375 0.28692448 0.28373826 344.31514
## 1499 0.28657982 0.28339206 345.01952
## 1511 0.28652663 0.28333864 345.12821
## 1543 0.28590657 0.28271581 346.39543
## 1232 0.28574735 0.28255587 346.72083
## 1221 0.28515669 0.28196258 347.92796
## 1486 0.28511246 0.28191814 348.01837
## 1241 0.28486517 0.28166975 348.52376
## 1500 0.28461336 0.28141681 349.03838
## 1496 0.28439114 0.28119361 349.49252
## 1325 0.28398919 0.28078986 350.31399
## 1535 0.28372437 0.28052386 350.85520
## 1566 0.28341861 0.28021673 351.48009
## 1508 0.28296887 0.27976498 352.39922
## 1306 0.28269229 0.27948716 352.96447
## 1550 0.28236582 0.27915923 353.63168
## 1497 0.28114977 0.27793775 356.11692
## 1463 0.28024749 0.27703143 357.96093
## 1560 0.27952524 0.27630596 359.43699
## 1286 0.27844436 0.27522025 361.64599
## 1249 0.27829881 0.27507405 361.94345
## 1407 0.27743827 0.27420966 363.70213
## 1322 0.27712944 0.27389945 364.33330
## 1071 0.27656913 0.27333665 365.47839
## 1532 0.27533429 0.27209628 368.00205
## 1284 0.27503104 0.27179168 368.62179
## 1320 0.27468644 0.27144554 369.32605
## 1451 0.27220710 0.26895512 374.39310
## 1251 0.27152312 0.26826808 375.79095
## 1521 0.26999805 0.26673620 378.90774
## 1571 0.26931361 0.26604870 380.30653
## 1246 0.26886142 0.26559449 381.23067
## 1446 0.26762818 0.26435574 383.75104
## 1217 0.26745058 0.26417734 384.11402
## 1568 0.26620248 0.26292367 386.66476
## 1516 0.26618261 0.26290371 386.70536
## 1518 0.26589115 0.26261095 387.30102
## 1410 0.26563790 0.26235657 387.81859
## 1537 0.26541814 0.26213582 388.26773
## 1482 0.26531870 0.26203594 388.47095
## 1480 0.26481755 0.26153255 389.49515
## 1502 0.26320743 0.25991524 392.78575
## 1281 0.25850231 0.25518909 402.40164
## 1556 0.25722565 0.25390673 405.01074
## 1580 0.25707221 0.25375261 405.32432
## 1477 0.25134562 0.24800043 417.02777
## 1553 0.24617124 0.24280293 427.60267
## 1551 0.22705157 0.22359782 466.67762
## 1628 0.44151504 0.43851780 30.37783
## 1631 0.44063533 0.43763337 32.17570
## 1619 0.44031227 0.43730858 32.83593
## 1633 0.43996003 0.43695445 33.55580
## 1592 0.43926688 0.43625758 34.97239
## 1810 0.43786063 0.43484378 37.84635
## 1860 0.43672751 0.43370458 40.16211
## 1813 0.43636938 0.43334453 40.89402
## 1624 0.43595515 0.43292808 41.74059
## 1881 0.43591333 0.43288603 41.82605
## 1634 0.43552245 0.43249306 42.62489
## 1815 0.43540126 0.43237121 42.87258
## 1863 0.43531221 0.43228168 43.05457
## 1801 0.43514191 0.43211047 43.40262
## 1879 0.43481349 0.43178029 44.07380
## 1884 0.43435676 0.43132110 45.00723
## 1865 0.43231176 0.42926513 49.18660
## 1806 0.43151078 0.42845986 50.82356
## 1662 0.43139772 0.42834619 51.05462
## 1816 0.43132699 0.42827508 51.19918
## 1856 0.43068135 0.42762598 52.51867
## 1866 0.43064103 0.42758544 52.60106
## 1643 0.43027579 0.42721823 53.34752
## 1870 0.42991739 0.42685791 54.07998
## 1665 0.42990910 0.42684957 54.09693
## 1664 0.42976054 0.42670022 54.40054
## 1882 0.42972967 0.42666919 54.46361
## 1653 0.42959812 0.42653693 54.73247
## 1886 0.42923202 0.42616886 55.48068
## 1875 0.42922935 0.42616618 55.48614
## 2112 0.42920694 0.42614365 55.53194
## 1607 0.42917726 0.42611381 55.59259
## 1873 0.42857784 0.42551117 56.81763
## 2062 0.42851204 0.42544502 56.95211
## 1885 0.42847397 0.42540675 57.02989
## 2115 0.42846502 0.42539775 57.04819
## 1646 0.42824779 0.42517935 57.49215
## 1668 0.42804043 0.42497088 57.91593
## 2053 0.42786160 0.42479109 58.28141
## 2133 0.42775149 0.42468039 58.50644
## 2065 0.42772126 0.42464999 58.56823
## 1667 0.42760606 0.42453417 58.80366
## 1649 0.42754727 0.42447508 58.92380
## 1656 0.42752854 0.42445624 58.96208
## 2067 0.42749240 0.42441990 59.03595
## 1610 0.42708767 0.42401301 59.86308
## 2136 0.42693705 0.42386158 60.17091
## 1639 0.42672364 0.42364703 60.60705
## 1844 0.42666419 0.42358725 60.72856
## 1669 0.42639533 0.42331695 61.27803
## 2131 0.42618738 0.42310788 61.70302
## 2117 0.42605044 0.42297021 61.98289
## 1613 0.42594182 0.42286101 62.20486
## 1847 0.42593183 0.42285097 62.22528
## 1899 0.42579294 0.42271133 62.50913
## 1658 0.42552538 0.42244234 63.05594
## 2108 0.42539408 0.42231033 63.32429
## 1902 0.42538890 0.42230512 63.33488
## 1603 0.42527196 0.42218755 63.57386
## 2308 0.42506373 0.42197821 63.99942
## 2118 0.42505060 0.42196501 64.02625
## 1835 0.42493041 0.42184417 64.27188
## 1846 0.42475530 0.42166812 64.62975
## 1825 0.42474332 0.42165607 64.65425
## 1918 0.42469806 0.42161057 64.74674
## 2329 0.42466057 0.42157288 64.82337
## 2058 0.42430292 0.42121331 65.55429
## 1890 0.42413675 0.42104625 65.89389
## 1598 0.42407900 0.42098819 66.01192
## 1612 0.42397017 0.42087877 66.23435
## 2068 0.42383086 0.42073872 66.51905
## 2311 0.42377056 0.42067809 66.64228
## 1920 0.42369145 0.42059856 66.80396
## 1648 0.42368695 0.42059404 66.81315
## 2327 0.42363924 0.42054607 66.91066
## 1659 0.42353321 0.42043947 67.12736
## 1919 0.42348382 0.42038982 67.22829
## 2127 0.42337351 0.42027891 67.45373
## 1850 0.42331795 0.42022305 67.56728
## 2332 0.42321915 0.42012373 67.76919
## 2138 0.42308765 0.41999152 68.03795
## 2122 0.42288980 0.41979261 68.44228
## 1905 0.42288663 0.41978942 68.44878
## 1909 0.42254085 0.41944178 69.15545
## 1876 0.42240852 0.41930875 69.42588
## 1911 0.42237891 0.41927898 69.48640
## 2134 0.42236420 0.41926419 69.51646
## 2125 0.42225246 0.41915185 69.74482
## 1901 0.42208344 0.41898192 70.09026
## 1838 0.42207759 0.41897604 70.10221
## 1828 0.42207618 0.41897462 70.10510
## 1831 0.42199534 0.41889334 70.27031
## 1849 0.42189874 0.41879622 70.46774
## 2137 0.42183413 0.41873128 70.59976
## 2382 0.42142882 0.41832378 71.42811
## 1893 0.42141208 0.41830696 71.46232
## 1851 0.42139873 0.41829354 71.48959
## 2313 0.42125102 0.41814504 71.79147
## 1921 0.42102187 0.41791466 72.25978
## 2314 0.42049771 0.41738768 73.33101
## 2304 0.42048162 0.41737150 73.36390
## 1821 0.42040742 0.41729691 73.51554
## 2318 0.42034031 0.41722944 73.65269
## 2330 0.42015055 0.41703865 74.04052
## 2384 0.41978380 0.41666994 74.79003
## 1840 0.41974976 0.41663571 74.85961
## 2334 0.41958588 0.41647096 75.19453
## 2323 0.41952632 0.41641107 75.31626
## 1914 0.41949681 0.41638141 75.37656
## 1904 0.41942851 0.41631274 75.51615
## 2321 0.41896907 0.41585083 76.45511
## 1906 0.41895201 0.41583369 76.48996
## 2333 0.41888139 0.41576268 76.63430
## 2401 0.41884791 0.41572903 76.70271
## 1912 0.41871378 0.41559418 76.97683
## 2387 0.41855750 0.41543706 77.29623
## 1841 0.41850959 0.41538889 77.39415
## 2385 0.41834541 0.41522383 77.72967
## 2373 0.41831222 0.41519046 77.79752
## 1896 0.41830611 0.41518432 77.81000
## 2154 0.41819833 0.41507596 78.03027
## 2128 0.41737063 0.41424382 79.72184
## 2142 0.41733235 0.41420533 79.80007
## 1830 0.41728169 0.41415440 79.90361
## 2388 0.41716708 0.41403917 80.13784
## 1895 0.41714340 0.41401536 80.18624
## 2376 0.41705240 0.41392388 80.37221
## 2099 0.41689893 0.41376959 80.68586
## 2151 0.41684572 0.41371609 80.79460
## 2157 0.41648663 0.41335507 81.52847
## 1737 0.41637561 0.41324346 81.75537
## 1915 0.41628212 0.41314946 81.94644
## 2087 0.41623766 0.41310477 82.03730
## 2096 0.41595552 0.41282112 82.61390
## 1916 0.41587168 0.41273683 82.78525
## 2172 0.41584724 0.41271225 82.83521
## 2077 0.41547496 0.41233797 83.59603
## 2145 0.41541682 0.41227952 83.71486
## 2083 0.41523840 0.41210015 84.07948
## 2403 0.41519999 0.41206153 84.15798
## 2394 0.41511223 0.41197329 84.33735
## 2171 0.41510999 0.41197105 84.34191
## 2102 0.41509925 0.41196025 84.36386
## 2170 0.41507207 0.41193292 84.41941
## 2389 0.41503686 0.41189752 84.49138
## 1758 0.41495114 0.41181135 84.66655
## 2163 0.41492643 0.41178650 84.71707
## 2378 0.41481926 0.41167876 84.93608
## 2098 0.41479064 0.41164998 84.99458
## 2161 0.41457249 0.41143066 85.44041
## 2090 0.41421747 0.41107373 86.16597
## 2324 0.41421113 0.41106736 86.17893
## 2173 0.41405124 0.41090662 86.50569
## 2073 0.41402344 0.41087867 86.56250
## 2103 0.41398287 0.41083788 86.64542
## 2404 0.41393346 0.41078821 86.74639
## 2350 0.41383250 0.41068670 86.95273
## 2397 0.41377619 0.41063009 87.06781
## 2153 0.41369264 0.41054609 87.23855
## 2080 0.41361429 0.41046732 87.39869
## 2148 0.41354520 0.41039785 87.53990
## 2158 0.41323822 0.41008923 88.16726
## 2166 0.41293542 0.40978480 88.78610
## 2101 0.41278706 0.40963565 89.08930
## 2379 0.41276446 0.40961293 89.13548
## 2092 0.41270133 0.40954946 89.26451
## 2368 0.41250338 0.40935044 89.66907
## 2367 0.41227342 0.40911925 90.13902
## 2338 0.41214767 0.40899282 90.39603
## 2164 0.41203284 0.40887738 90.63070
## 2156 0.41189993 0.40874376 90.90234
## 2147 0.41188528 0.40872903 90.93227
## 2093 0.41181605 0.40865943 91.07376
## 1753 0.41173356 0.40857650 91.24233
## 2347 0.41160208 0.40844431 91.51105
## 2392 0.41145471 0.40829615 91.81223
## 2353 0.41144082 0.40828219 91.84061
## 1687 0.41141413 0.40825535 91.89516
## 2402 0.41139531 0.40823643 91.93362
## 2357 0.41091110 0.40774962 92.92321
## 2417 0.41077742 0.40761523 93.19640
## 2359 0.41074158 0.40757919 93.26966
## 2366 0.41072038 0.40755788 93.31297
## 2168 0.41060625 0.40744313 93.54623
## 2004 0.41047091 0.40730707 93.82282
## 2167 0.41046520 0.40730133 93.83449
## 1933 0.41019476 0.40702944 94.38718
## 2369 0.40993697 0.40677026 94.91404
## 1954 0.40968658 0.40651853 95.42576
## 2082 0.40950645 0.40633744 95.79389
## 2341 0.40950642 0.40633740 95.79396
## 2407 0.40907415 0.40590282 96.67738
## 2360 0.40905905 0.40588764 96.70824
## 2399 0.40895804 0.40578608 96.91467
## 2418 0.40837554 0.40520045 98.10514
## 2349 0.40831375 0.40513833 98.23142
## 2009 0.40828540 0.40510983 98.28936
## 2344 0.40814539 0.40496907 98.57550
## 2023 0.40811872 0.40494226 98.63000
## 2354 0.40805781 0.40488102 98.75448
## 1747 0.40802096 0.40484397 98.82979
## 2362 0.40793211 0.40475464 99.01139
## 2410 0.40771182 0.40453317 99.46159
## 1949 0.40744662 0.40426655 100.00358
## 2425 0.40715627 0.40397464 100.59696
## 1734 0.40687918 0.40369606 101.16326
## 2363 0.40661740 0.40343288 101.69826
## 1759 0.40653762 0.40335267 101.86130
## 2395 0.40653136 0.40334637 101.87410
## 2416 0.40650597 0.40332085 101.92598
## 2409 0.40636265 0.40317676 102.21889
## 1998 0.40631683 0.40313069 102.31253
## 1773 0.40625790 0.40307145 102.43297
## 2364 0.40622674 0.40304012 102.49665
## 2419 0.40606399 0.40287649 102.82927
## 2352 0.40581101 0.40262216 103.34628
## 2343 0.40576917 0.40258010 103.43179
## 1767 0.40566252 0.40247288 103.64975
## 2398 0.40561840 0.40242851 103.73992
## 2010 0.40548983 0.40229925 104.00268
## 2413 0.40542786 0.40223695 104.12932
## 2421 0.40536979 0.40217857 104.24800
## 1779 0.40517454 0.40198227 104.64704
## 1755 0.40502351 0.40183043 104.95571
## 1792 0.40462523 0.40143001 105.76967
## 1739 0.40433309 0.40113631 106.36672
## 2412 0.40382453 0.40062502 107.40605
## 1730 0.40360440 0.40040371 107.85593
## 2423 0.40346716 0.40026573 108.13642
## 1675 0.40317335 0.39997035 108.73687
## 1788 0.40308457 0.39988108 108.91833
## 2019 0.40300034 0.39979641 109.09046
## 1943 0.40297190 0.39976782 109.14857
## 2256 0.40275825 0.39955301 109.58522
## 1783 0.40271383 0.39950836 109.67599
## 1795 0.40267295 0.39946726 109.75954
## 2185 0.40245838 0.39925154 110.19807
## 1689 0.40245189 0.39924501 110.21133
## 2026 0.40229507 0.39908735 110.53183
## 2414 0.40229482 0.39908710 110.53233
## 1740 0.40188139 0.39867145 111.37726
## 1955 0.40180001 0.39858964 111.54357
## 1778 0.40169569 0.39848476 111.75677
## 2261 0.40167834 0.39846731 111.79223
## 1615 0.40165280 0.39844164 111.84443
## 1793 0.40149107 0.39827904 112.17496
## 1718 0.40133993 0.39812709 112.48384
## 2250 0.40116740 0.39795363 112.83644
## 1702 0.40107267 0.39785840 113.03003
## 2424 0.40105708 0.39784272 113.06190
## 2206 0.40100726 0.39779263 113.16372
## 1749 0.40075779 0.39754182 113.67356
## 2422 0.40074497 0.39752893 113.69976
## 1930 0.40068218 0.39746581 113.82809
## 2039 0.40066778 0.39745132 113.85753
## 2029 0.40060810 0.39739133 113.97949
## 1712 0.40049626 0.39727888 114.20806
## 1723 0.40020272 0.39698377 114.80797
## 1951 0.39998867 0.39676857 115.24543
## 1684 0.39997463 0.39675445 115.27412
## 2262 0.39980410 0.39658301 115.62263
## 1626 0.39968966 0.39646796 115.85650
## 1969 0.39967102 0.39644921 115.89461
## 1724 0.39959608 0.39637387 116.04776
## 2275 0.39952429 0.39630171 116.19446
## 1760 0.39918124 0.39595681 116.89557
## 2006 0.39905830 0.39583321 117.14682
## 1988 0.39884136 0.39561510 117.59019
## 1975 0.39874705 0.39552029 117.78293
## 1963 0.39843553 0.39520710 118.41957
## 1764 0.39787889 0.39464747 119.55719
## 2038 0.39786486 0.39463337 119.58585
## 2014 0.39783176 0.39460009 119.65350
## 2438 0.39755645 0.39432330 120.21616
## 1935 0.39754524 0.39431203 120.23907
## 1979 0.39744765 0.39421391 120.43851
## 2201 0.39729554 0.39406099 120.74938
## 1789 0.39716223 0.39392696 121.02183
## 1995 0.39715597 0.39392067 121.03461
## 2047 0.39713739 0.39390199 121.07259
## 2271 0.39712199 0.39388651 121.10405
## 1991 0.39706835 0.39383258 121.21370
## 1989 0.39698739 0.39375118 121.37915
## 2043 0.39697079 0.39373450 121.41306
## 1776 0.39677363 0.39353628 121.81601
## 2024 0.39667411 0.39343622 122.01941
## 1984 0.39665443 0.39341644 122.05962
## 1625 0.39660054 0.39336226 122.16976
## 1744 0.39658016 0.39334177 122.21140
## 1926 0.39657694 0.39333853 122.21799
## 1588 0.39657679 0.39333838 122.21829
## 2041 0.39646872 0.39322973 122.43916
## 1680 0.39624666 0.39300648 122.89298
## 1616 0.39614302 0.39290229 123.10478
## 2443 0.39593545 0.39269360 123.52900
## 2457 0.39588738 0.39264527 123.62724
## 2278 0.39586896 0.39262675 123.66489
## 2007 0.39584782 0.39260550 123.70808
## 2034 0.39578268 0.39254001 123.84121
## 2035 0.39556989 0.39232608 124.27609
## 2195 0.39543182 0.39218727 124.55827
## 2432 0.39527585 0.39203046 124.87702
## 1936 0.39525183 0.39200632 124.92611
## 1945 0.39487861 0.39163109 125.68886
## 1785 0.39469999 0.39145151 126.05391
## 1756 0.39437443 0.39112420 126.71927
## 1974 0.39436569 0.39111541 126.73713
## 2444 0.39434000 0.39108959 126.78963
## 2000 0.39422011 0.39096906 127.03465
## 1690 0.39409964 0.39084794 127.28084
## 2281 0.39391343 0.39066072 127.66142
## 1629 0.39370422 0.39045039 128.08898
## 2207 0.39369989 0.39044605 128.09781
## 1794 0.39368828 0.39043437 128.12155
## 1956 0.39368686 0.39043295 128.12444
## 2291 0.39335828 0.39010260 128.79596
## 2011 0.39327906 0.39002295 128.95788
## 2016 0.39301943 0.38976193 129.48847
## 1775 0.39298230 0.38972460 129.56436
## 2182 0.39298011 0.38972240 129.56884
## 2493 0.39296751 0.38970974 129.59458
## 2453 0.39277650 0.38951770 129.98496
## 2258 0.39257437 0.38931448 130.39806
## 1769 0.39255542 0.38929543 130.43677
## 1770 0.39252122 0.38926105 130.50667
## 2247 0.39240008 0.38913926 130.75425
## 1797 0.39225855 0.38899697 131.04350
## 1695 0.39218555 0.38892357 131.19269
## 1780 0.39210734 0.38884494 131.35253
## 1940 0.39196424 0.38870108 131.64497
## 2460 0.39194280 0.38867952 131.68879
## 1699 0.39188423 0.38862064 131.80849
## 2025 0.39186370 0.38860000 131.85045
## 2215 0.39185398 0.38859023 131.87031
## 1808 0.39176210 0.38849785 132.05810
## 2227 0.39159980 0.38833468 132.38979
## 2178 0.39156551 0.38830021 132.45985
## 1985 0.39156246 0.38829714 132.46610
## 1705 0.39141404 0.38814792 132.76943
## 1586 0.39133372 0.38806718 132.93356
## 2484 0.39132427 0.38805767 132.95289
## 2203 0.39119780 0.38793053 133.21135
## 2266 0.39118421 0.38791686 133.23913
## 2187 0.39110898 0.38784123 133.39287
## 1617 0.39109850 0.38783069 133.41429
## 2046 0.39107371 0.38780577 133.46495
## 1709 0.39091722 0.38764844 133.78477
## 2287 0.39089257 0.38762365 133.83516
## 1720 0.39080433 0.38753494 134.01549
## 1960 0.39078929 0.38751982 134.04623
## 2020 0.39068261 0.38741257 134.26425
## 2252 0.39064230 0.38737204 134.34663
## 1590 0.39058626 0.38731570 134.46116
## 1589 0.39053173 0.38726088 134.57260
## 1972 0.39051507 0.38724413 134.60666
## 2259 0.39047335 0.38720219 134.69191
## 1857 0.39046134 0.38719011 134.71646
## 2293 0.39045662 0.38718537 134.72611
## 2494 0.39043247 0.38716109 134.77545
## 2286 0.39042547 0.38715405 134.78977
## 1952 0.39014150 0.38686855 135.37013
## 2489 0.39007504 0.38680174 135.50595
## 1714 0.39005401 0.38678059 135.54893
## 2001 0.38998170 0.38670790 135.69669
## 2221 0.38987885 0.38660450 135.90689
## 2188 0.38969284 0.38641749 136.28704
## 2496 0.38950733 0.38623098 136.66618
## 2295 0.38942586 0.38614908 136.83266
## 1725 0.38939379 0.38611683 136.89822
## 2276 0.38935891 0.38608177 136.96949
## 1721 0.38922764 0.38594979 137.23778
## 1750 0.38916347 0.38588528 137.36891
## 1807 0.38912313 0.38584472 137.45137
## 2236 0.38911892 0.38584049 137.45997
## 2263 0.38910058 0.38582205 137.49746
## 2290 0.38906087 0.38578213 137.57859
## 2243 0.38895415 0.38567483 137.79672
## 2299 0.38894040 0.38566101 137.82482
## 2197 0.38887055 0.38559078 137.96756
## 1981 0.38864998 0.38536903 138.41834
## 1990 0.38850442 0.38522269 138.71583
## 1790 0.38850310 0.38522137 138.71851
## 2040 0.38843201 0.38514989 138.86381
## 2448 0.38841440 0.38513219 138.89979
## 2231 0.38834314 0.38506054 139.04544
## 2031 0.38822748 0.38494427 139.28180
## 2044 0.38812916 0.38484542 139.48274
## 1620 0.38811048 0.38482664 139.52091
## 2473 0.38809286 0.38480892 139.55693
## 1614 0.38802790 0.38474362 139.68968
## 2240 0.38798997 0.38470548 139.76721
## 2463 0.38776754 0.38448186 140.22178
## 2268 0.38749948 0.38421235 140.76963
## 2032 0.38745427 0.38416690 140.86202
## 2241 0.38726294 0.38397455 141.25305
## 2253 0.38723814 0.38394961 141.30373
## 1858 0.38713508 0.38384600 141.51435
## 2208 0.38712201 0.38383287 141.54105
## 2458 0.38703016 0.38374052 141.72878
## 2440 0.38691973 0.38362949 141.95446
## 1618 0.38665203 0.38336036 142.50155
## 1877 0.38665054 0.38335886 142.50461
## 2429 0.38662400 0.38333217 142.55885
## 1786 0.38658757 0.38329556 142.63329
## 1627 0.38658621 0.38329419 142.63607
## 2490 0.38647604 0.38318342 142.86124
## 2272 0.38613985 0.38284543 143.54831
## 1704 0.38607767 0.38278291 143.67539
## 2226 0.38596078 0.38266540 143.91426
## 2298 0.38574799 0.38245147 144.34914
## 1971 0.38572693 0.38243029 144.39219
## 2277 0.38569574 0.38239894 144.45593
## 2498 0.38526782 0.38196872 145.33047
## 1640 0.38525663 0.38195747 145.35334
## 2441 0.38517623 0.38187664 145.51765
## 2481 0.38517331 0.38187371 145.52362
## 1966 0.38508246 0.38178237 145.70929
## 1976 0.38507429 0.38177415 145.72600
## 1798 0.38504157 0.38174126 145.79286
## 2021 0.38489294 0.38159182 146.09663
## 2477 0.38473512 0.38143316 146.41916
## 2192 0.38462489 0.38132234 146.64443
## 2469 0.38460537 0.38130271 146.68433
## 1965 0.38455903 0.38125613 146.77903
## 2237 0.38451857 0.38121545 146.86171
## 2502 0.38449831 0.38119508 146.90312
## 1715 0.38448898 0.38118570 146.92219
## 2475 0.38447872 0.38117538 146.94317
## 1622 0.38444344 0.38113992 147.01526
## 2212 0.38422466 0.38091996 147.46239
## 2434 0.38418260 0.38087768 147.54834
## 1811 0.38396357 0.38065748 147.99597
## 1946 0.38373749 0.38043017 148.45802
## 2450 0.38360426 0.38029623 148.73030
## 2468 0.38346094 0.38015215 149.02320
## 2224 0.38333315 0.38002366 149.28438
## 1632 0.38326224 0.37995238 149.42929
## 2508 0.38317018 0.37985983 149.61742
## 2445 0.38315282 0.37984237 149.65290
## 2284 0.38303032 0.37971921 149.90326
## 2283 0.38297541 0.37966401 150.01549
## 2454 0.38276411 0.37945158 150.44731
## 2472 0.38266745 0.37935439 150.64487
## 1660 0.38266323 0.37935015 150.65349
## 1635 0.38261779 0.37930447 150.74635
## 2292 0.38245905 0.37914488 151.07077
## 1852 0.38242930 0.37911496 151.13158
## 2504 0.38234366 0.37902887 151.30659
## 2036 0.38233487 0.37902003 151.32455
## 2459 0.38228223 0.37896711 151.43214
## 2505 0.38226024 0.37894500 151.47709
## 2204 0.38214683 0.37883099 151.70885
## 1986 0.38210471 0.37878864 151.79493
## 2045 0.38205572 0.37873938 151.89506
## 1621 0.38190973 0.37859261 152.19342
## 1642 0.38183320 0.37851567 152.34982
## 2296 0.38180040 0.37848269 152.41685
## 2273 0.38163192 0.37831330 152.76118
## 1982 0.38157404 0.37825512 152.87947
## 1859 0.38146650 0.37814700 153.09925
## 2486 0.38137197 0.37805196 153.29245
## 1587 0.38102421 0.37770234 154.00316
## 2233 0.38100141 0.37767941 154.04976
## 2480 0.38091893 0.37759649 154.21831
## 2435 0.38085839 0.37753563 154.34204
## 2218 0.38060959 0.37728549 154.85052
## 1630 0.38059736 0.37727320 154.87550
## 2495 0.38039894 0.37707371 155.28102
## 2242 0.38021518 0.37688897 155.65657
## 1802 0.38021011 0.37688386 155.66694
## 1604 0.37986978 0.37654171 156.36247
## 1861 0.37968209 0.37635302 156.74604
## 1799 0.37965797 0.37632876 156.79535
## 2501 0.37965374 0.37632452 156.80398
## 2217 0.37951474 0.37618476 157.08807
## 1594 0.37947092 0.37614071 157.17761
## 1591 0.37937500 0.37604427 157.37366
## 2288 0.37934987 0.37601901 157.42500
## 2228 0.37934884 0.37601797 157.42713
## 1641 0.37921341 0.37588182 157.70389
## 2507 0.37912458 0.37579251 157.88544
## 1809 0.37891052 0.37557730 158.32292
## 1651 0.37870996 0.37537567 158.73280
## 2478 0.37864575 0.37531111 158.86403
## 2198 0.37848159 0.37514607 159.19952
## 1605 0.37837572 0.37503963 159.41589
## 1731 0.37823790 0.37490108 159.69754
## 1663 0.37803452 0.37469660 160.11320
## 1650 0.37753953 0.37419895 161.12481
## 2017 0.37745472 0.37411369 161.29813
## 1868 0.37724007 0.37389789 161.73681
## 2223 0.37712383 0.37378102 161.97438
## 2455 0.37710053 0.37375760 162.02200
## 2487 0.37704828 0.37370507 162.12877
## 2466 0.37701361 0.37367021 162.19964
## 2297 0.37694687 0.37360311 162.33604
## 2474 0.37676691 0.37342218 162.70383
## 2238 0.37668295 0.37333778 162.87540
## 1880 0.37645721 0.37311083 163.33675
## 1599 0.37632035 0.37297323 163.61645
## 1661 0.37628225 0.37293493 163.69431
## 2465 0.37626635 0.37291894 163.72681
## 1796 0.37594390 0.37259476 164.38580
## 2491 0.37552450 0.37217311 165.24294
## 1606 0.37504624 0.37169229 166.22035
## 2509 0.37497086 0.37161650 166.37442
## 1800 0.37488502 0.37153020 166.54984
## 1853 0.37474170 0.37138611 166.84274
## 2234 0.37460551 0.37124919 167.12108
## 1751 0.37444228 0.37108509 167.45466
## 1862 0.37395090 0.37059107 168.45890
## 1636 0.37387780 0.37051758 168.60830
## 1804 0.37387557 0.37051533 168.61287
## 1822 0.37383602 0.37047557 168.69369
## 2269 0.37378417 0.37042344 168.79966
## 1645 0.37343406 0.37007145 169.51517
## 1814 0.37297755 0.36961249 170.44814
## 2479 0.37273279 0.36936642 170.94836
## 2470 0.37246828 0.36910049 171.48894
## 1842 0.37242327 0.36905524 171.58093
## 1803 0.37185312 0.36848203 172.74615
## 2506 0.37144570 0.36807242 173.57880
## 2451 0.37118665 0.36781198 174.10822
## 1735 0.37117899 0.36780428 174.12386
## 1824 0.37116759 0.36779281 174.14718
## 1817 0.37090641 0.36753024 174.68094
## 2049 0.37086767 0.36749129 174.76011
## 1812 0.37075514 0.36737815 174.99009
## 1595 0.37066671 0.36728925 175.17082
## 1898 0.37043827 0.36705958 175.63769
## 1644 0.37042991 0.36705118 175.65476
## 1887 0.37009945 0.36671894 176.33014
## 2499 0.36982672 0.36644475 176.88752
## 1672 0.36974007 0.36635764 177.06459
## 2109 0.36973939 0.36635695 177.06599
## 1854 0.36965937 0.36627651 177.22952
## 1867 0.36947739 0.36609355 177.60144
## 1654 0.36926847 0.36588350 178.02841
## 1623 0.36912632 0.36574059 178.31892
## 1608 0.36895095 0.36556429 178.67731
## 1864 0.36894351 0.36555680 178.69253
## 1666 0.36892168 0.36553486 178.73714
## 2500 0.36891951 0.36553267 178.74158
## 1897 0.36878361 0.36539605 179.01931
## 1845 0.36874532 0.36535755 179.09758
## 1871 0.36872107 0.36533317 179.14713
## 1878 0.36849465 0.36510554 179.60986
## 1833 0.36833013 0.36494013 179.94610
## 2060 0.36811762 0.36472648 180.38040
## 1883 0.36809671 0.36470545 180.42314
## 1652 0.36807027 0.36467888 180.47716
## 1727 0.36783471 0.36444205 180.95860
## 1685 0.36773674 0.36434356 181.15880
## 1832 0.36767510 0.36428158 181.28479
## 1927 0.36756110 0.36416697 181.51777
## 1843 0.36743141 0.36403658 181.78282
## 1823 0.36738659 0.36399153 181.87441
## 2110 0.36726436 0.36386864 182.12422
## 1593 0.36722772 0.36383180 182.19910
## 1597 0.36681747 0.36341935 183.03753
## 1600 0.36671688 0.36331822 183.24310
## 1681 0.36668032 0.36328147 183.31782
## 1637 0.36628661 0.36288564 184.12244
## 1647 0.36619393 0.36279246 184.31186
## 1609 0.36579559 0.36239199 185.12594
## 1947 0.36562948 0.36222499 185.46543
## 1638 0.36537840 0.36197256 185.97856
## 1900 0.36533131 0.36192522 186.07479
## 1736 0.36519331 0.36178648 186.35682
## 2050 0.36459893 0.36118891 187.57156
## 1888 0.36457248 0.36116232 187.62562
## 1917 0.36435028 0.36093893 188.07972
## 2104 0.36431519 0.36090364 188.15145
## 1601 0.36429530 0.36088365 188.19209
## 1611 0.36402380 0.36061069 188.74696
## 2002 0.36399010 0.36057680 188.81584
## 1907 0.36387071 0.36045678 189.05982
## 1732 0.36357689 0.36016138 189.66032
## 2129 0.36326823 0.35985106 190.29113
## 1761 0.36312563 0.35970770 190.58256
## 2059 0.36298555 0.35956687 190.86883
## 1855 0.36279344 0.35937373 191.26144
## 1889 0.36244962 0.35902806 191.96412
## 2111 0.36238700 0.35896510 192.09210
## 1745 0.36204643 0.35862271 192.78811
## 1596 0.36196744 0.35854329 192.94955
## 1671 0.36135539 0.35792796 194.20040
## 2063 0.36123063 0.35780253 194.45537
## 2113 0.36101061 0.35758133 194.90503
## 1772 0.36054951 0.35711775 195.84739
## 1827 0.36049309 0.35706103 195.96268
## 1726 0.36042379 0.35699136 196.10431
## 2051 0.36019824 0.35676459 196.56528
## 2305 0.35993052 0.35649544 197.11242
## 1818 0.35974173 0.35630564 197.49824
## 1757 0.35967163 0.35623517 197.64150
## 1657 0.35944335 0.35600566 198.10804
## 1682 0.35915757 0.35571834 198.69209
## 1771 0.35900058 0.35556051 199.01293
## 1931 0.35881547 0.35537441 199.39124
## 1655 0.35876056 0.35531921 199.50345
## 1992 0.35854891 0.35510642 199.93601
## 1834 0.35851281 0.35507012 200.00980
## 1805 0.35819501 0.35475062 200.65927
## 2048 0.35807835 0.35463333 200.89769
## 2105 0.35783126 0.35438492 201.40267
## 1741 0.35772294 0.35427602 201.62404
## 1696 0.35766185 0.35421460 201.74890
## 2306 0.35738632 0.35393759 202.31200
## 1848 0.35718039 0.35373056 202.73286
## 1781 0.35704646 0.35359590 203.00658
## 1733 0.35677028 0.35331824 203.57101
## 2003 0.35635367 0.35289940 204.42243
## 2120 0.35631414 0.35285965 204.50322
## 2054 0.35631166 0.35285716 204.50829
## 1836 0.35627964 0.35282497 204.57373
## 2325 0.35626496 0.35281022 204.60372
## 1826 0.35620472 0.35274965 204.72684
## 1602 0.35619320 0.35273807 204.75038
## 1869 0.35613914 0.35268372 204.86086
## 2114 0.35610598 0.35265038 204.92863
## 2052 0.35610373 0.35264812 204.93323
## 1716 0.35523466 0.35177438 206.70937
## 1874 0.35518873 0.35172820 206.80323
## 1923 0.35471736 0.35125430 207.76657
## 1910 0.35470577 0.35124265 207.79025
## 1791 0.35457469 0.35111087 208.05815
## 2132 0.35455943 0.35109553 208.08933
## 1752 0.35450363 0.35103942 208.20337
## 1903 0.35433644 0.35087134 208.54506
## 1677 0.35429213 0.35082679 208.63562
## 2300 0.35398979 0.35052283 209.25350
## 2061 0.35390789 0.35044049 209.42089
## 2106 0.35388256 0.35041503 209.47264
## 1742 0.35377101 0.35030288 209.70062
## 2056 0.35347213 0.35000239 210.31145
## 1891 0.35309079 0.34961901 211.09078
## 1829 0.35270163 0.34922776 211.88611
## 2307 0.35255406 0.34907939 212.18771
## 1932 0.35239103 0.34891549 212.52089
## 2116 0.35224456 0.34876823 212.82024
## 1673 0.35218911 0.34871248 212.93356
## 1928 0.35191561 0.34843752 213.49251
## 2066 0.35167035 0.34819095 213.99374
## 1819 0.35141102 0.34793022 214.52375
## 1892 0.35135093 0.34786981 214.64655
## 1728 0.35132109 0.34783981 214.70753
## 1820 0.35110004 0.34761757 215.15930
## 1686 0.35096852 0.34748535 215.42808
## 1941 0.35077533 0.34729112 215.82290
## 1765 0.35070735 0.34722278 215.96183
## 1706 0.35069886 0.34721424 215.97919
## 1957 0.35040538 0.34691918 216.57897
## 1754 0.35039424 0.34690798 216.60174
## 1692 0.35033123 0.34684464 216.73051
## 2012 0.35020265 0.34671536 216.99330
## 1996 0.34982100 0.34633167 217.77327
## 1670 0.34977785 0.34628829 217.86145
## 2069 0.34956557 0.34607487 218.29530
## 2139 0.34948140 0.34599024 218.46732
## 2123 0.34910648 0.34561331 219.23355
## 2316 0.34904667 0.34555318 219.35578
## 2309 0.34901881 0.34552517 219.41271
## 1937 0.34899427 0.34550050 219.46286
## 2055 0.34895580 0.34546182 219.54149
## 1777 0.34890191 0.34540764 219.65162
## 1968 0.34882138 0.34532668 219.81621
## 2076 0.34881192 0.34531717 219.83553
## 2150 0.34871798 0.34522273 220.02752
## 1953 0.34869069 0.34519529 220.08330
## 2074 0.34831018 0.34481274 220.86094
## 1908 0.34828038 0.34478278 220.92184
## 2022 0.34827238 0.34477474 220.93819
## 1738 0.34812752 0.34462910 221.23425
## 1922 0.34807385 0.34457514 221.34393
## 2008 0.34806748 0.34456874 221.35695
## 1701 0.34799082 0.34449166 221.51362
## 1766 0.34797514 0.34447590 221.54566
## 2380 0.34781958 0.34431951 221.86358
## 2328 0.34777598 0.34427567 221.95269
## 2107 0.34768300 0.34418219 222.14272
## 2135 0.34755036 0.34404884 222.41379
## 1872 0.34718829 0.34368483 223.15375
## 1717 0.34708364 0.34357962 223.36762
## 2064 0.34679304 0.34328745 223.96153
## 1762 0.34662867 0.34312220 224.29746
## 1839 0.34649830 0.34299113 224.56389
## 1837 0.34636183 0.34285393 224.84280
## 2119 0.34628458 0.34277626 225.00068
## 1967 0.34616986 0.34266094 225.23512
## 1948 0.34602193 0.34251220 225.53746
## 1977 0.34597328 0.34246330 225.63687
## 1674 0.34593209 0.34242189 225.72105
## 1710 0.34579886 0.34228794 225.99334
## 1691 0.34573549 0.34222423 226.12284
## 1678 0.34538953 0.34187642 226.82988
## 2027 0.34529190 0.34177826 227.02941
## 2301 0.34525801 0.34174419 227.09867
## 2179 0.34517930 0.34166506 227.25953
## 2140 0.34490308 0.34138735 227.82405
## 1929 0.34476467 0.34124820 228.10692
## 2149 0.34463206 0.34111488 228.37793
## 1987 0.34456317 0.34104562 228.51871
## 2152 0.34454874 0.34103112 228.54820
## 2037 0.34442768 0.34090941 228.79561
## 2094 0.34426425 0.34074510 229.12962
## 1700 0.34426167 0.34074250 229.13490
## 2085 0.34421158 0.34069214 229.23727
## 2130 0.34410624 0.34058624 229.45255
## 2310 0.34404037 0.34052002 229.58717
## 1894 0.34381281 0.34029123 230.05224
## 1774 0.34379053 0.34026883 230.09777
## 1676 0.34375777 0.34023590 230.16472
## 2141 0.34372638 0.34020434 230.22886
## 1938 0.34372533 0.34020328 230.23102
## 1722 0.34359583 0.34007308 230.49569
## 2097 0.34359464 0.34007189 230.49812
## 1993 0.34354823 0.34002523 230.59297
## 2254 0.34333665 0.33981252 231.02536
## 1729 0.34300003 0.33947409 231.71332
## 1763 0.34288273 0.33935616 231.95304
## 2075 0.34261259 0.33908458 232.50512
## 1913 0.34229059 0.33876084 233.16320
## 2370 0.34224914 0.33871917 233.24792
## 1698 0.34220655 0.33867635 233.33495
## 1688 0.34181990 0.33828763 234.12515
## 2084 0.34111944 0.33758341 235.55668
## 2381 0.34111661 0.33758056 235.56247
## 2302 0.34100549 0.33746885 235.78956
## 2005 0.34097972 0.33744294 235.84222
## 2028 0.34096124 0.33742436 235.88000
## 1707 0.34088983 0.33735256 236.02595
## 1997 0.34076411 0.33722617 236.28288
## 1950 0.34069236 0.33715404 236.42950
## 2371 0.34055601 0.33701695 236.70817
## 2315 0.34044866 0.33690903 236.92756
## 2244 0.34028920 0.33674871 237.25346
## 2199 0.34025445 0.33671378 237.32447
## 2159 0.34012760 0.33658624 237.58372
## 2312 0.33994569 0.33640336 237.95548
## 1782 0.33985280 0.33630997 238.14532
## 1746 0.33984628 0.33630341 238.15866
## 1787 0.33968583 0.33614210 238.48656
## 2095 0.33964756 0.33610363 238.56478
## 2383 0.33959681 0.33605261 238.66848
## 2070 0.33947802 0.33593318 238.91127
## 2169 0.33944311 0.33589808 238.98261
## 2319 0.33939857 0.33585331 239.07363
## 2079 0.33917294 0.33562646 239.53476
## 1683 0.33902358 0.33547630 239.84001
## 2326 0.33874701 0.33519824 240.40524
## 1697 0.33844570 0.33489532 241.02101
## 2183 0.33833531 0.33478434 241.24662
## 2331 0.33833353 0.33478255 241.25025
## 2346 0.33758367 0.33402866 242.78275
## 1719 0.33751002 0.33395462 242.93327
## 2126 0.33738261 0.33382652 243.19366
## 2335 0.33690702 0.33334838 244.16563
## 1924 0.33676135 0.33320193 244.46334
## 2255 0.33669778 0.33313802 244.59324
## 2057 0.33654402 0.33298343 244.90750
## 2175 0.33634338 0.33278171 245.31755
## 1961 0.33530913 0.33174192 247.43123
## 2155 0.33491816 0.33134885 248.23026
## 2143 0.33483807 0.33126833 248.39394
## 1973 0.33478340 0.33121337 248.50567
## 2121 0.33450823 0.33093671 249.06805
## 2303 0.33436869 0.33079643 249.35322
## 2144 0.33408687 0.33051310 249.92917
## 1748 0.33405002 0.33047605 250.00448
## 1934 0.33399936 0.33042511 250.10803
## 1784 0.33373150 0.33015582 250.65544
## 2248 0.33363973 0.33006356 250.84300
## 2086 0.33340651 0.32982909 251.31962
## 2348 0.33323012 0.32965175 251.68012
## 2088 0.33316878 0.32959008 251.80547
## 1994 0.33307267 0.32949345 252.00190
## 2100 0.33299616 0.32941653 252.15826
## 1962 0.33291785 0.32933781 252.31830
## 2162 0.33282546 0.32924492 252.50712
## 2072 0.33280619 0.32922554 252.54651
## 2184 0.33271738 0.32913626 252.72800
## 1958 0.33257478 0.32899290 253.01943
## 2081 0.33249104 0.32890870 253.19059
## 2078 0.33243085 0.32884819 253.31358
## 2071 0.33230042 0.32871706 253.58015
## 2372 0.33224955 0.32866591 253.68412
## 1711 0.33221287 0.32862904 253.75907
## 2436 0.33215399 0.32856985 253.87940
## 2336 0.33199983 0.32841485 254.19447
## 2337 0.33174460 0.32815825 254.71609
## 2345 0.33164288 0.32805599 254.92396
## 2374 0.33138366 0.32779538 255.45374
## 2365 0.33110222 0.32751243 256.02891
## 1970 0.33095600 0.32736542 256.32775
## 2180 0.33083674 0.32724553 256.57148
## 2386 0.33062261 0.32703024 257.00910
## 2260 0.33059000 0.32699746 257.07574
## 2355 0.33023700 0.32664256 257.79717
## 1693 0.33007627 0.32648097 258.12566
## 2042 0.32985072 0.32625422 258.58660
## 2018 0.32969126 0.32609389 258.91251
## 1978 0.32953177 0.32593355 259.23845
## 2174 0.32944545 0.32584677 259.41486
## 2193 0.32922325 0.32562338 259.86897
## 1959 0.32911625 0.32551580 260.08765
## 2390 0.32885605 0.32525421 260.61942
## 2317 0.32867484 0.32507202 260.98977
## 2209 0.32865137 0.32504843 261.03772
## 1768 0.32863193 0.32502888 261.07745
## 2426 0.32857800 0.32497466 261.18768
## 2264 0.32851434 0.32491066 261.31777
## 1942 0.32807247 0.32446642 262.22083
## 2400 0.32789478 0.32428778 262.58397
## 2146 0.32788397 0.32427690 262.60607
## 1694 0.32767827 0.32407010 263.02646
## 1703 0.32750421 0.32389511 263.38217
## 1925 0.32748574 0.32387654 263.41994
## 2124 0.32721105 0.32360038 263.98131
## 2322 0.32718610 0.32357529 264.03231
## 2245 0.32716316 0.32355223 264.07918
## 2033 0.32702544 0.32341377 264.36066
## 1743 0.32681417 0.32320136 264.79242
## 1983 0.32622500 0.32260903 265.99651
## 2205 0.32579157 0.32217328 266.88231
## 2220 0.32564328 0.32202419 267.18538
## 2437 0.32549407 0.32187419 267.49030
## 2249 0.32537595 0.32175542 267.73172
## 2279 0.32534220 0.32172149 267.80070
## 2091 0.32522789 0.32160658 268.03430
## 2274 0.32509064 0.32146858 268.31481
## 2181 0.32465009 0.32102567 269.21515
## 2415 0.32425167 0.32062511 270.02942
## 1708 0.32403962 0.32041192 270.46279
## 2160 0.32400814 0.32038028 270.52711
## 2358 0.32387870 0.32025014 270.79165
## 2030 0.32364107 0.32001123 271.27730
## 2189 0.32347840 0.31984769 271.60975
## 2257 0.32310766 0.31947496 272.36743
## 2375 0.32301626 0.31938307 272.55423
## 2289 0.32298024 0.31934686 272.62783
## 2405 0.32281405 0.31917978 272.96748
## 2089 0.32241799 0.31878159 273.77691
## 1999 0.32227617 0.31863901 274.06675
## 1679 0.32214039 0.31850251 274.34424
## 1980 0.32208067 0.31844246 274.46630
## 2280 0.32207030 0.31843204 274.48748
## 2165 0.32200968 0.31837109 274.61137
## 2190 0.32164043 0.31799986 275.36600
## 1944 0.32077740 0.31713219 277.12980
## 2351 0.32076531 0.31712004 277.15451
## 2229 0.32075014 0.31710479 277.18550
## 2015 0.32059355 0.31694737 277.50552
## 2446 0.32057619 0.31692991 277.54101
## 2406 0.32055879 0.31691242 277.57655
## 1713 0.32044800 0.31680103 277.80299
## 2219 0.32037550 0.31672814 277.95116
## 2176 0.32035221 0.31670473 277.99874
## 2430 0.31976631 0.31611568 279.19616
## 2377 0.31953493 0.31588306 279.66904
## 2340 0.31915247 0.31549855 280.45066
## 2013 0.31912107 0.31546698 280.51483
## 2339 0.31887374 0.31521832 281.02030
## 2200 0.31874802 0.31509193 281.27724
## 2320 0.31840435 0.31474642 281.97959
## 2239 0.31782003 0.31415895 283.17378
## 2456 0.31768948 0.31402770 283.44059
## 2246 0.31762828 0.31396618 283.56565
## 2442 0.31730090 0.31363704 284.23472
## 2202 0.31703142 0.31336611 284.78546
## 2408 0.31695040 0.31328466 284.95104
## 1939 0.31676165 0.31309490 285.33679
## 2393 0.31669468 0.31302757 285.47366
## 2356 0.31645960 0.31279123 285.95409
## 2482 0.31621637 0.31254669 286.45119
## 2186 0.31618829 0.31251846 286.50857
## 2213 0.31558544 0.31191237 287.74062
## 2427 0.31450612 0.31082726 289.94644
## 2214 0.31406193 0.31038068 290.85423
## 2492 0.31386764 0.31018536 291.25128
## 2225 0.31363219 0.30994864 291.73248
## 2342 0.31240715 0.30871703 294.23609
## 2210 0.31239756 0.30870739 294.25569
## 1964 0.31179917 0.30810578 295.47864
## 2177 0.31169292 0.30799896 295.69577
## 2461 0.31144879 0.30775353 296.19470
## 2439 0.31107366 0.30737638 296.96136
## 2270 0.31107237 0.30737508 296.96400
## 2431 0.31085061 0.30715213 297.41721
## 2471 0.31061733 0.30691760 297.89397
## 2285 0.31057057 0.30687059 297.98952
## 2211 0.30987825 0.30617456 299.40441
## 2361 0.30981531 0.30611128 299.53305
## 2251 0.30943252 0.30572644 300.31535
## 2222 0.30921274 0.30550547 300.76453
## 2462 0.30889065 0.30518166 301.42278
## 2294 0.30718769 0.30346956 304.90313
## 2282 0.30678412 0.30306382 305.72790
## 2396 0.30591072 0.30218573 307.51289
## 2483 0.30510936 0.30138008 309.15061
## 2194 0.30486292 0.30113231 309.65427
## 2428 0.30437313 0.30063989 310.65526
## 2235 0.30375881 0.30002228 311.91074
## 2411 0.30367051 0.29993350 312.09120
## 2420 0.30314370 0.29940387 313.16784
## 2230 0.30283608 0.29909459 313.79654
## 2267 0.30165955 0.29791175 316.20101
## 2196 0.30140137 0.29765219 316.72865
## 2452 0.30029582 0.29654070 318.98808
## 2232 0.29896116 0.29519888 321.71572
## 2476 0.29767796 0.29390879 324.33820
## 2488 0.29730842 0.29353727 325.09342
## 2265 0.29673738 0.29296316 326.26047
## 2391 0.29531664 0.29153479 329.16405
## 2503 0.29518380 0.29140125 329.43552
## 2216 0.29513514 0.29135232 329.53497
## 2467 0.29438848 0.29060165 331.06093
## 2433 0.29351797 0.28972647 332.84000
## 2449 0.29295368 0.28915916 333.99323
## 2191 0.29289156 0.28909670 334.12018
## 2464 0.29248693 0.28868991 334.94712
## 2485 0.29102453 0.28721966 337.93583
## 2447 0.29064247 0.28683554 338.71666
## 2497 0.28338095 0.27953505 353.55706
## 2593 0.44647642 0.44300760 22.23824
## 2574 0.44644188 0.44297285 22.30882
## 2595 0.44633288 0.44286316 22.53159
## 2524 0.44579711 0.44232404 23.62654
## 2577 0.44532531 0.44184928 24.59076
## 2598 0.44510812 0.44163073 25.03463
## 2527 0.44463705 0.44115671 25.99736
## 2529 0.44321479 0.43972553 28.90404
## 2789 0.44300029 0.43950969 29.34241
## 2515 0.44283552 0.43934389 29.67915
## 2791 0.44259231 0.43909915 30.17621
## 2584 0.44253341 0.43903989 30.29657
## 2579 0.44235586 0.43886123 30.65942
## 2770 0.44209836 0.43860211 31.18568
## 2596 0.44205346 0.43855693 31.27745
## 2844 0.44163025 0.43813106 32.14237
## 2587 0.44146353 0.43796330 32.48310
## 2570 0.44143704 0.43793664 32.53724
## 2599 0.44108272 0.43758010 33.26136
## 2580 0.44106744 0.43756473 33.29257
## 2863 0.44099919 0.43749605 33.43207
## 2589 0.44087279 0.43736886 33.69039
## 2794 0.44081981 0.43731555 33.79867
## 2600 0.44056324 0.43705737 34.32303
## 2773 0.44048399 0.43697762 34.48498
## 2520 0.44043679 0.43693013 34.58143
## 2530 0.43998549 0.43647600 35.50376
## 2846 0.43935203 0.43583857 36.79836
## 2780 0.43897326 0.43545743 37.57246
## 2792 0.43870367 0.43518614 38.12344
## 2835 0.43775923 0.43423579 40.05358
## 2849 0.43774400 0.43422046 40.08472
## 2847 0.43762548 0.43410120 40.32693
## 2775 0.43741162 0.43388600 40.76399
## 2783 0.43727562 0.43374915 41.04193
## 2795 0.43710010 0.43357253 41.40064
## 2856 0.43670700 0.43317696 42.20403
## 2865 0.43662337 0.43309281 42.37495
## 2785 0.43639031 0.43285829 42.85125
## 2766 0.43633559 0.43280322 42.96308
## 2796 0.43631304 0.43278053 43.00918
## 2776 0.43621557 0.43268246 43.20836
## 2590 0.43617190 0.43263851 43.29762
## 2838 0.43615169 0.43261818 43.33891
## 2850 0.43609638 0.43256251 43.45196
## 2613 0.43562475 0.43208793 44.41582
## 2854 0.43554285 0.43200552 44.58320
## 2864 0.43536920 0.43183078 44.93810
## 2633 0.43528968 0.43175076 45.10061
## 2632 0.43525299 0.43171385 45.17558
## 2616 0.43514465 0.43160483 45.39700
## 2623 0.43503400 0.43149348 45.62315
## 2859 0.43498423 0.43144340 45.72486
## 2866 0.43496740 0.43142646 45.75925
## 2558 0.43487446 0.43133294 45.94919
## 2604 0.43463976 0.43109677 46.42885
## 2634 0.43434230 0.43079745 47.03677
## 2561 0.43403913 0.43049238 47.65636
## 2625 0.43378806 0.43023973 48.16948
## 2549 0.43368090 0.43013190 48.38847
## 2980 0.43341864 0.42986800 48.92446
## 3054 0.43334615 0.42979506 49.07260
## 3001 0.43326665 0.42971506 49.23508
## 2851 0.43326278 0.42971116 49.24300
## 2840 0.43324780 0.42969608 49.27362
## 2619 0.43304774 0.42949477 49.68247
## 2999 0.43299779 0.42944451 49.78455
## 2560 0.43259645 0.42904065 50.60478
## 2539 0.43244558 0.42888884 50.91310
## 2983 0.43244360 0.42888684 50.91716
## 2607 0.43234744 0.42879008 51.11368
## 3004 0.43217242 0.42861397 51.47136
## 2635 0.43212712 0.42856839 51.56394
## 3073 0.43206066 0.42850151 51.69976
## 2615 0.43199504 0.42843548 51.83388
## 2786 0.43194381 0.42838393 51.93857
## 2564 0.43187001 0.42830966 52.08940
## 2626 0.43162173 0.42805982 52.59682
## 3056 0.43152504 0.42796253 52.79443
## 2829 0.43148351 0.42792074 52.87929
## 2628 0.43138684 0.42782346 53.07686
## 2552 0.43130461 0.42774072 53.24491
## 2841 0.43117790 0.42761321 53.50388
## 3045 0.43086411 0.42729745 54.14517
## 2879 0.43064308 0.42707504 54.59689
## 2819 0.43061000 0.42704176 54.66448
## 3059 0.43060353 0.42703524 54.67772
## 2812 0.43053901 0.42697032 54.80957
## 2828 0.43053775 0.42696905 54.81215
## 3057 0.43044651 0.42687725 54.99861
## 2809 0.43043397 0.42686463 55.02424
## 2830 0.43029866 0.42672846 55.30079
## 2990 0.43024417 0.42667363 55.41214
## 2857 0.43024345 0.42667290 55.41362
## 2542 0.43022996 0.42665934 55.44117
## 2563 0.43022698 0.42665634 55.44726
## 2985 0.42992920 0.42635669 56.05584
## 2545 0.42989397 0.42632124 56.12784
## 3048 0.42989072 0.42631797 56.13448
## 2618 0.42978715 0.42621375 56.34615
## 3002 0.42970141 0.42612747 56.52138
## 2976 0.42964138 0.42606707 56.64406
## 2861 0.42963417 0.42605981 56.65879
## 2629 0.42958655 0.42601189 56.75612
## 3060 0.42956695 0.42599217 56.79617
## 2565 0.42955544 0.42598059 56.81970
## 2869 0.42954589 0.42597098 56.83921
## 3194 0.42943559 0.42585999 57.06464
## 2800 0.42939209 0.42581621 57.15354
## 2610 0.42935448 0.42577836 57.23041
## 2986 0.42926919 0.42569254 57.40472
## 2887 0.42922715 0.42565024 57.49062
## 2620 0.42922209 0.42564514 57.50097
## 2993 0.42920470 0.42562765 57.53650
## 3066 0.42913672 0.42555925 57.67543
## 3213 0.42912954 0.42555202 57.69010
## 2821 0.42909248 0.42551472 57.76585
## 2535 0.42905459 0.42547660 57.84328
## 2995 0.42903687 0.42545876 57.87951
## 2860 0.42886761 0.42528845 58.22542
## 3075 0.42878190 0.42520220 58.40058
## 3005 0.42877049 0.42519072 58.42391
## 3006 0.42872135 0.42514127 58.52433
## 2554 0.42865758 0.42507710 58.65465
## 2609 0.42827795 0.42469509 59.43051
## 3069 0.42811362 0.42452973 59.76635
## 2883 0.42808042 0.42449633 59.83419
## 2630 0.42803861 0.42445425 59.91966
## 2878 0.42786084 0.42427537 60.28296
## 2555 0.42785575 0.42427024 60.29337
## 3076 0.42784407 0.42425849 60.31723
## 2815 0.42782940 0.42424373 60.34721
## 2822 0.42762740 0.42404046 60.76005
## 2880 0.42760490 0.42401782 60.80603
## 3050 0.42757682 0.42398957 60.86341
## 3196 0.42757050 0.42398320 60.87634
## 3064 0.42753692 0.42394942 60.94495
## 2831 0.42740890 0.42382059 61.20659
## 3061 0.42731792 0.42372905 61.39252
## 3074 0.42705922 0.42346872 61.92124
## 2872 0.42692822 0.42333690 62.18895
## 3185 0.42682328 0.42323130 62.40343
## 3197 0.42672381 0.42313121 62.60671
## 2811 0.42667238 0.42307946 62.71181
## 2803 0.42644752 0.42285319 63.17137
## 2871 0.42624562 0.42265003 63.58398
## 3206 0.42616264 0.42256652 63.75358
## 3215 0.42611170 0.42251526 63.85768
## 3199 0.42610371 0.42250723 63.87401
## 2824 0.42597557 0.42237828 64.13590
## 3051 0.42597226 0.42237495 64.14265
## 2544 0.42564804 0.42204870 64.80526
## 3188 0.42528271 0.42168108 65.55189
## 3200 0.42527655 0.42167488 65.56448
## 3204 0.42510720 0.42150447 65.91059
## 2885 0.42504376 0.42144063 66.04024
## 3214 0.42492406 0.42132018 66.28487
## 2881 0.42491286 0.42130891 66.30775
## 2825 0.42484030 0.42123590 66.45604
## 2996 0.42482932 0.42122485 66.47849
## 2884 0.42476464 0.42115976 66.61068
## 3216 0.42452911 0.42092276 67.09202
## 3209 0.42449597 0.42088941 67.15975
## 3249 0.42427484 0.42066690 67.61167
## 2875 0.42426870 0.42066071 67.62424
## 2816 0.42386998 0.42025949 68.43910
## 3071 0.42385667 0.42024610 68.46630
## 2814 0.42382769 0.42021694 68.52552
## 2806 0.42376383 0.42015268 68.65604
## 2874 0.42333827 0.41972446 69.52575
## 3067 0.42330413 0.41969010 69.59552
## 2826 0.42301546 0.41939962 70.18548
## 3201 0.42295310 0.41933687 70.31292
## 3190 0.42286709 0.41925032 70.48871
## 3250 0.42281710 0.41920002 70.59087
## 3240 0.42280296 0.41918579 70.61976
## 3089 0.42262625 0.41900797 70.98091
## 3070 0.42262252 0.41900422 70.98853
## 2886 0.42222735 0.41860657 71.79614
## 3022 0.42219914 0.41857818 71.85381
## 2805 0.42217344 0.41855233 71.90632
## 2718 0.42199665 0.41837442 72.26763
## 3079 0.42185528 0.41823217 72.55655
## 3039 0.42172850 0.41810460 72.81564
## 3191 0.42137286 0.41774673 73.54246
## 3010 0.42133658 0.41771022 73.61661
## 3251 0.42133379 0.41770741 73.62232
## 3040 0.42126369 0.41763687 73.76558
## 3242 0.42123229 0.41760527 73.82976
## 3029 0.42114335 0.41751578 74.01152
## 3207 0.42105476 0.41742663 74.19258
## 2737 0.42090666 0.41727761 74.49524
## 3097 0.42052859 0.41689717 75.26791
## 3019 0.42046339 0.41683156 75.40115
## 2876 0.42045802 0.41682615 75.41214
## 3082 0.42034939 0.41671685 75.63413
## 3031 0.42033572 0.41670309 75.66207
## 3211 0.42032038 0.41668766 75.69342
## 3025 0.42023385 0.41660058 75.87027
## 3090 0.42011944 0.41648545 76.10409
## 3258 0.41999276 0.41635798 76.36299
## 3252 0.41995903 0.41632404 76.43192
## 3254 0.41993018 0.41629501 76.49088
## 3038 0.41989944 0.41626408 76.55369
## 2723 0.41982479 0.41618896 76.70626
## 3245 0.41978607 0.41615000 76.78539
## 3093 0.41971036 0.41607381 76.94012
## 3210 0.41963114 0.41599409 77.10202
## 2647 0.41922217 0.41558256 77.93784
## 3032 0.41919800 0.41555824 77.98724
## 3041 0.41916439 0.41552442 78.05593
## 3013 0.41915893 0.41551893 78.06708
## 3243 0.41913589 0.41549574 78.11418
## 3081 0.41911573 0.41547546 78.15536
## 2668 0.41902313 0.41538227 78.34462
## 2712 0.41885824 0.41521635 78.68160
## 3088 0.41866020 0.41501707 79.08634
## 3229 0.41848200 0.41483775 79.45054
## 3085 0.41846414 0.41481978 79.48703
## 3091 0.41823205 0.41458623 79.96135
## 3034 0.41803163 0.41438456 80.37094
## 3246 0.41781975 0.41417135 80.80397
## 3095 0.41781600 0.41416758 80.81164
## 2724 0.41761144 0.41396173 81.22970
## 2663 0.41758787 0.41393802 81.27787
## 3016 0.41756714 0.41391715 81.32024
## 3237 0.41733334 0.41368189 81.79806
## 3021 0.41722976 0.41357767 82.00973
## 3035 0.41720650 0.41355426 82.05727
## 2733 0.41704770 0.41339446 82.38182
## 3094 0.41704200 0.41338873 82.39346
## 3084 0.41703362 0.41338030 82.41059
## 3219 0.41695961 0.41330582 82.56185
## 3026 0.41691576 0.41326169 82.65147
## 2900 0.41666156 0.41300591 83.17096
## 2919 0.41649980 0.41284313 83.50156
## 3036 0.41615906 0.41250025 84.19794
## 3222 0.41595423 0.41229414 84.61655
## 2740 0.41593113 0.41227089 84.66376
## 3230 0.41591347 0.41225313 84.69984
## 3096 0.41585519 0.41219448 84.81895
## 3256 0.41581773 0.41215678 84.89551
## 3233 0.41574469 0.41208329 85.04478
## 3247 0.41570943 0.41204781 85.11684
## 3015 0.41556656 0.41190404 85.40882
## 3086 0.41534216 0.41167823 85.86744
## 3024 0.41519817 0.41153334 86.16170
## 2955 0.41481657 0.41114935 86.94158
## 3235 0.41445832 0.41078886 87.67374
## 3257 0.41442935 0.41075971 87.73294
## 2728 0.41423187 0.41056098 88.13654
## 3234 0.41418886 0.41051771 88.22443
## 3221 0.41410629 0.41043462 88.39319
## 2657 0.41410595 0.41043428 88.39388
## 2905 0.41400140 0.41032907 88.60755
## 3228 0.41360001 0.40992517 89.42787
## 3225 0.41338200 0.40970579 89.87343
## 3231 0.41335345 0.40967706 89.93177
## 3264 0.41317215 0.40949463 90.30229
## 2946 0.41288872 0.40920942 90.88154
## 2743 0.41284527 0.40916570 90.97033
## 2894 0.41282158 0.40914186 91.01875
## 2738 0.41269489 0.40901438 91.27766
## 2669 0.41260300 0.40892191 91.46546
## 3261 0.41250630 0.40882461 91.66308
## 2753 0.41208362 0.40839928 92.52691
## 3255 0.41204257 0.40835797 92.61081
## 2956 0.41195717 0.40827203 92.78535
## 2915 0.41193428 0.40824900 92.83213
## 2906 0.41187517 0.40818952 92.95293
## 3236 0.41172029 0.40803367 93.26946
## 3260 0.41135336 0.40766444 94.01936
## 3224 0.41130424 0.40761501 94.11974
## 2720 0.41125419 0.40756465 94.22203
## 2922 0.41109887 0.40740835 94.53946
## 2757 0.41071434 0.40702141 95.32533
## 2709 0.41049968 0.40680541 95.76403
## 2951 0.41042694 0.40673221 95.91268
## 3262 0.41019680 0.40650063 96.38303
## 2644 0.41018861 0.40649239 96.39977
## 2910 0.41013723 0.40644069 96.50477
## 3226 0.41012465 0.40642803 96.53047
## 2960 0.41009883 0.40640204 96.58325
## 2761 0.41003626 0.40633908 96.71112
## 2571 0.40991096 0.40621300 96.96719
## 2665 0.40985839 0.40616010 97.07464
## 2958 0.40976470 0.40606582 97.26611
## 2964 0.40929715 0.40559534 98.22164
## 2752 0.40929395 0.40559212 98.22818
## 2920 0.40887120 0.40516672 99.09216
## 2683 0.40873088 0.40502553 99.37892
## 2721 0.40870677 0.40500126 99.42821
## 3265 0.40867776 0.40497207 99.48748
## 2591 0.40837857 0.40467100 100.09895
## 2748 0.40834098 0.40463318 100.17577
## 2677 0.40832814 0.40462026 100.20201
## 2693 0.40832421 0.40461630 100.21005
## 2749 0.40828841 0.40458028 100.28320
## 2734 0.40828213 0.40457396 100.29604
## 2702 0.40823252 0.40452403 100.39744
## 2730 0.40815161 0.40444263 100.56278
## 2755 0.40809545 0.40438611 100.67757
## 2689 0.40784330 0.40413238 101.19288
## 3263 0.40772238 0.40401071 101.44000
## 2714 0.40763357 0.40392134 101.62151
## 3110 0.40753335 0.40382049 101.82632
## 2649 0.40728208 0.40356765 102.33984
## 2703 0.40716612 0.40345096 102.57684
## 2640 0.40703453 0.40331854 102.84577
## 2698 0.40703283 0.40331683 102.84925
## 2952 0.40693503 0.40321842 103.04912
## 2511 0.40686654 0.40314950 103.18909
## 2522 0.40685554 0.40313844 103.21156
## 2925 0.40668755 0.40296938 103.55490
## 3165 0.40666635 0.40294805 103.59822
## 2705 0.40664161 0.40292316 103.64877
## 2935 0.40661050 0.40289186 103.71235
## 2739 0.40651433 0.40279508 103.90890
## 2572 0.40647025 0.40275073 103.99898
## 3129 0.40638191 0.40266183 104.17953
## 2725 0.40616635 0.40244492 104.62007
## 3156 0.40615303 0.40243152 104.64730
## 3104 0.40598875 0.40226621 104.98303
## 3115 0.40598621 0.40226365 104.98822
## 2521 0.40593732 0.40221446 105.08814
## 2659 0.40586001 0.40213666 105.24613
## 2760 0.40554839 0.40182308 105.88301
## 2902 0.40547753 0.40175179 106.02781
## 2943 0.40541703 0.40169090 106.15147
## 2939 0.40539083 0.40166455 106.20499
## 2650 0.40527384 0.40154682 106.44409
## 3161 0.40473379 0.40100338 107.54780
## 3166 0.40470451 0.40097392 107.60764
## 2758 0.40469880 0.40096818 107.61930
## 3116 0.40458603 0.40085470 107.84978
## 2891 0.40452379 0.40079207 107.97698
## 2970 0.40442501 0.40069266 108.17886
## 2670 0.40424483 0.40051136 108.54708
## 2715 0.40423618 0.40050266 108.56476
## 3125 0.40414439 0.40041029 108.75235
## 2966 0.40413459 0.40040043 108.77238
## 2654 0.40399026 0.40025519 109.06736
## 2688 0.40387230 0.40013650 109.30843
## 2566 0.40370397 0.39996711 109.65244
## 3168 0.40358140 0.39984377 109.90294
## 2916 0.40350258 0.39976446 110.06402
## 2963 0.40348731 0.39974910 110.09523
## 2967 0.40348634 0.39974812 110.09721
## 2912 0.40333995 0.39960081 110.39639
## 2903 0.40307595 0.39933516 110.93592
## 2934 0.40304677 0.39930579 110.99557
## 2699 0.40302751 0.39928641 111.03493
## 3132 0.40285288 0.39911069 111.39181
## 3170 0.40247671 0.39873216 112.16061
## 2573 0.40238690 0.39864179 112.34414
## 2948 0.40224628 0.39850029 112.63152
## 2921 0.40203403 0.39828671 113.06531
## 2937 0.40198070 0.39823304 113.17431
## 3162 0.40188192 0.39813364 113.37617
## 2931 0.40183646 0.39808790 113.46908
## 2666 0.40179117 0.39804232 113.56165
## 3277 0.40177933 0.39803041 113.58585
## 2930 0.40143955 0.39768850 114.28024
## 2745 0.40132533 0.39757357 114.51367
## 2582 0.40130914 0.39755727 114.54677
## 2767 0.40130758 0.39755570 114.54996
## 2735 0.40125517 0.39750296 114.65708
## 2512 0.40120045 0.39744790 114.76891
## 2957 0.40117979 0.39742711 114.81113
## 3268 0.40115015 0.39739728 114.87170
## 3174 0.40114532 0.39739243 114.88156
## 2787 0.40108361 0.39733033 115.00768
## 2896 0.40103625 0.39728267 115.10448
## 2674 0.40102635 0.39727271 115.12471
## 3120 0.40101909 0.39726541 115.13954
## 2746 0.40082972 0.39707484 115.52657
## 2575 0.40081238 0.39705740 115.56200
## 2525 0.40077219 0.39701696 115.64413
## 2754 0.40054181 0.39678513 116.11496
## 2940 0.40019269 0.39643383 116.82846
## 2594 0.40018398 0.39642506 116.84627
## 3278 0.40008644 0.39632691 117.04561
## 2907 0.39995023 0.39618985 117.32398
## 2942 0.39993007 0.39616956 117.36518
## 2686 0.39991999 0.39615942 117.38578
## 2971 0.39967878 0.39591670 117.87874
## 2695 0.39944053 0.39567696 118.36565
## 3130 0.39920713 0.39544209 118.84265
## 3273 0.39916035 0.39539502 118.93825
## 2969 0.39912815 0.39536262 119.00406
## 3282 0.39904752 0.39528148 119.16885
## 2516 0.39877726 0.39500953 119.72117
## 3135 0.39847733 0.39470772 120.33414
## 2704 0.39845007 0.39468028 120.38987
## 3280 0.39841676 0.39464676 120.45794
## 2961 0.39825065 0.39447961 120.79742
## 2581 0.39815924 0.39438763 120.98423
## 3286 0.39809225 0.39432023 121.12113
## 2949 0.39801659 0.39424409 121.27577
## 3145 0.39791172 0.39413856 121.49008
## 2567 0.39790507 0.39413187 121.50368
## 3101 0.39783893 0.39406531 121.63886
## 2768 0.39775867 0.39398455 121.80288
## 3173 0.39770252 0.39392805 121.91762
## 2897 0.39756857 0.39379326 122.19139
## 2759 0.39747147 0.39369555 122.38984
## 3112 0.39740672 0.39363039 122.52217
## 2523 0.39723414 0.39345674 122.87486
## 3177 0.39703638 0.39325773 123.27903
## 2731 0.39699873 0.39321985 123.35598
## 3176 0.39696521 0.39318612 123.42447
## 2592 0.39691670 0.39313731 123.52362
## 2660 0.39681652 0.39303650 123.72835
## 3158 0.39679825 0.39301811 123.76570
## 2576 0.39675456 0.39297415 123.85497
## 3180 0.39668873 0.39290791 123.98952
## 2842 0.39645014 0.39266783 124.47712
## 3274 0.39636750 0.39258466 124.64602
## 3149 0.39615559 0.39237142 125.07911
## 2513 0.39610460 0.39232011 125.18331
## 3126 0.39607349 0.39228881 125.24689
## 2750 0.39600387 0.39221875 125.38918
## 3295 0.39600023 0.39221509 125.39662
## 3113 0.39587210 0.39208616 125.65847
## 2680 0.39575892 0.39197227 125.88977
## 2917 0.39572523 0.39193837 125.95862
## 3153 0.39568149 0.39189435 126.04802
## 3122 0.39557469 0.39178689 126.26628
## 2685 0.39555048 0.39176252 126.31577
## 3106 0.39554869 0.39176072 126.31942
## 3141 0.39546801 0.39167953 126.48432
## 2679 0.39535857 0.39156941 126.70797
## 3299 0.39530565 0.39151616 126.81613
## 3167 0.39516496 0.39137458 127.10366
## 2953 0.39515192 0.39136147 127.13029
## 2585 0.39506104 0.39127002 127.31602
## 2690 0.39490668 0.39111469 127.63150
## 2936 0.39464438 0.39085074 128.16757
## 2927 0.39461430 0.39082048 128.22904
## 2928 0.39457396 0.39077988 128.31149
## 3147 0.39455618 0.39076199 128.34782
## 3140 0.39454016 0.39074587 128.38056
## 2762 0.39451923 0.39072481 128.42333
## 2597 0.39409415 0.39029707 129.29207
## 3117 0.39395867 0.39016074 129.56896
## 3179 0.39394241 0.39014438 129.60218
## 2696 0.39379058 0.38999160 129.91248
## 2510 0.39374160 0.38994231 130.01258
## 3131 0.39373947 0.38994017 130.01692
## 3285 0.39373105 0.38993169 130.03414
## 2962 0.39371733 0.38991789 130.06217
## 2778 0.39358417 0.38978389 130.33433
## 2700 0.39349723 0.38969641 130.51199
## 2769 0.39344878 0.38964765 130.61102
## 3159 0.39335587 0.38955416 130.80090
## 2568 0.39306252 0.38925897 131.40042
## 3144 0.39300794 0.38920405 131.51196
## 2913 0.39273045 0.38892482 132.07908
## 2790 0.39267409 0.38886811 132.19425
## 3107 0.39265090 0.38884477 132.24165
## 3152 0.39261786 0.38881153 132.30916
## 2518 0.39257307 0.38876645 132.40072
## 2517 0.39240939 0.38860175 132.73522
## 3181 0.39238145 0.38857363 132.79233
## 3296 0.39236261 0.38855468 132.83083
## 2514 0.39233385 0.38852573 132.88961
## 2941 0.39229615 0.38848780 132.96665
## 2832 0.39207802 0.38826830 133.41244
## 2601 0.39201613 0.38820603 133.53893
## 2968 0.39194591 0.38813536 133.68245
## 2578 0.39191280 0.38810204 133.75011
## 3289 0.39176053 0.38794882 134.06130
## 3171 0.39170588 0.38789383 134.17298
## 3292 0.39168648 0.38787431 134.21264
## 3163 0.39164540 0.38783297 134.29659
## 3270 0.39138690 0.38757286 134.82488
## 3150 0.39137337 0.38755924 134.85253
## 2528 0.39134356 0.38752924 134.91346
## 2612 0.39129070 0.38747605 135.02150
## 2843 0.39126070 0.38744586 135.08281
## 3298 0.39115200 0.38733648 135.30495
## 3288 0.39110108 0.38728524 135.40902
## 2526 0.39106099 0.38724489 135.49096
## 2777 0.39089562 0.38707849 135.82893
## 2771 0.39047219 0.38665241 136.69427
## 3279 0.39020938 0.38638796 137.23138
## 2788 0.38981662 0.38599273 138.03408
## 3127 0.38981578 0.38599189 138.03579
## 2536 0.38970631 0.38588173 138.25951
## 3283 0.38931893 0.38549192 139.05120
## 2611 0.38931071 0.38548365 139.06800
## 2932 0.38895831 0.38512904 139.78821
## 2556 0.38895172 0.38512241 139.80168
## 2833 0.38889226 0.38506258 139.92319
## 2621 0.38882194 0.38499182 140.06690
## 3293 0.38861136 0.38477991 140.49728
## 3172 0.38829439 0.38446096 141.14507
## 2569 0.38824553 0.38441180 141.24492
## 3138 0.38823441 0.38440061 141.26764
## 2631 0.38819733 0.38436330 141.34342
## 2583 0.38817090 0.38433670 141.39743
## 2845 0.38813535 0.38430093 141.47008
## 3271 0.38802471 0.38418959 141.69622
## 3291 0.38794109 0.38410545 141.86711
## 2852 0.38781636 0.38397994 142.12201
## 2531 0.38779780 0.38396126 142.15994
## 3137 0.38763913 0.38380159 142.48423
## 2862 0.38716659 0.38332610 143.44995
## 3146 0.38709876 0.38325784 143.58857
## 2538 0.38704230 0.38320102 143.70396
## 2546 0.38702724 0.38318587 143.73475
## 2763 0.38699193 0.38315034 143.80690
## 3178 0.38687123 0.38302888 144.05358
## 2602 0.38676655 0.38292355 144.26751
## 3301 0.38635463 0.38250905 145.10935
## 2614 0.38629858 0.38245265 145.22390
## 3300 0.38614520 0.38229830 145.53738
## 2547 0.38614093 0.38229400 145.54611
## 2772 0.38609223 0.38224500 145.64563
## 2557 0.38589698 0.38204853 146.04466
## 3275 0.38564879 0.38179878 146.55189
## 2559 0.38551988 0.38166906 146.81534
## 3123 0.38551119 0.38166032 146.83310
## 2781 0.38550101 0.38165008 146.85390
## 2603 0.38547541 0.38162432 146.90622
## 2716 0.38503155 0.38117767 147.81334
## 3151 0.38489040 0.38103564 148.10181
## 3284 0.38484292 0.38098786 148.19885
## 2793 0.38474797 0.38089232 148.39290
## 2588 0.38456717 0.38071038 148.76240
## 3142 0.38403831 0.38017821 149.84323
## 2641 0.38381653 0.37995504 150.29648
## 2537 0.38362487 0.37976218 150.68818
## 2834 0.38280101 0.37893316 152.37190
## 3297 0.38275237 0.37888421 152.47131
## 2661 0.38272867 0.37886037 152.51974
## 2706 0.38198680 0.37811384 154.03592
## 2586 0.38194833 0.37807513 154.11453
## 2764 0.38182546 0.37795149 154.36565
## 2808 0.38151427 0.37763835 155.00162
## 2624 0.38136505 0.37748820 155.30657
## 2797 0.38133068 0.37745361 155.37682
## 3290 0.38117971 0.37730170 155.68535
## 2519 0.38117945 0.37730144 155.68588
## 2836 0.38116248 0.37728436 155.72057
## 2774 0.38098484 0.37710560 156.08362
## 2848 0.38055295 0.37667101 156.96627
## 2779 0.38048238 0.37659999 157.11050
## 2827 0.37964496 0.37575733 158.82193
## 2622 0.37957463 0.37568656 158.96567
## 2717 0.37941582 0.37552675 159.29023
## 2977 0.37934322 0.37545370 159.43860
## 2817 0.37932852 0.37543890 159.46865
## 2548 0.37908700 0.37519587 159.96223
## 2532 0.37889339 0.37500105 160.35791
## 2807 0.37857428 0.37467994 161.01009
## 2541 0.37848113 0.37458620 161.20046
## 2605 0.37790168 0.37400313 162.38468
## 2617 0.37775998 0.37386053 162.67428
## 2726 0.37756109 0.37366040 163.08075
## 2855 0.37747813 0.37357691 163.25030
## 2997 0.37702118 0.37311710 164.18417
## 2606 0.37693364 0.37302902 164.36307
## 2550 0.37662896 0.37272243 164.98574
## 2978 0.37657378 0.37266690 165.09852
## 2765 0.37646125 0.37255367 165.32849
## 2645 0.37636155 0.37245334 165.53226
## 2562 0.37633898 0.37243063 165.57838
## 2810 0.37631076 0.37240224 165.63605
## 2877 0.37605236 0.37214222 166.16414
## 2798 0.37575089 0.37183885 166.78027
## 3052 0.37574184 0.37182975 166.79875
## 2867 0.37544148 0.37152751 167.41260
## 2898 0.37528006 0.37136508 167.74249
## 2736 0.37526159 0.37134649 167.78024
## 2837 0.37507417 0.37115790 168.16327
## 2799 0.37488484 0.37096738 168.55021
## 2972 0.37469532 0.37077667 168.93753
## 2540 0.37468743 0.37076873 168.95366
## 2710 0.37459265 0.37067335 169.14736
## 2784 0.37426360 0.37034224 169.81985
## 2637 0.37388279 0.36995905 170.59811
## 2868 0.37339706 0.36947027 171.59080
## 3042 0.37286028 0.36893013 172.68780
## 2979 0.37277540 0.36884472 172.86127
## 2722 0.37237331 0.36844011 173.68304
## 2820 0.37214674 0.36821212 174.14608
## 2627 0.37211464 0.36817982 174.21167
## 2782 0.37208686 0.36815186 174.26846
## 2888 0.37166093 0.36772326 175.13893
## 2988 0.37141425 0.36747504 175.64306
## 2533 0.37133573 0.36739602 175.80355
## 2655 0.37127917 0.36733911 175.91914
## 2543 0.37126320 0.36732304 175.95178
## 2646 0.37120510 0.36726458 176.07051
## 3053 0.37116562 0.36722485 176.15119
## 2534 0.37112827 0.36718726 176.22753
## 2651 0.37095286 0.36701075 176.58602
## 2818 0.37079493 0.36685184 176.90877
## 3043 0.37052648 0.36658170 177.45741
## 2981 0.37017335 0.36622636 178.17911
## 2839 0.37013190 0.36618465 178.26382
## 2608 0.37003372 0.36608586 178.46446
## 2551 0.36967542 0.36572531 179.19671
## 3000 0.36967063 0.36572049 179.20651
## 2853 0.36959577 0.36564516 179.35950
## 2642 0.36938004 0.36542808 179.80039
## 2899 0.36934667 0.36539450 179.86860
## 2908 0.36908082 0.36512699 180.41191
## 2858 0.36892343 0.36496861 180.73357
## 3055 0.36892039 0.36496555 180.73978
## 2741 0.36887503 0.36491990 180.83249
## 2667 0.36885670 0.36490146 180.86994
## 2671 0.36864894 0.36469240 181.29454
## 2870 0.36851520 0.36455782 181.56786
## 2707 0.36847512 0.36451749 181.64978
## 2711 0.36809265 0.36413262 182.43143
## 2973 0.36804452 0.36408419 182.52980
## 2553 0.36804169 0.36408135 182.53557
## 2662 0.36778101 0.36381903 183.06833
## 2944 0.36726079 0.36329555 184.13150
## 2636 0.36724402 0.36327868 184.16578
## 2918 0.36701399 0.36304720 184.63589
## 2882 0.36695552 0.36298836 184.75540
## 2751 0.36682929 0.36286135 185.01336
## 3192 0.36666504 0.36269607 185.34904
## 2987 0.36637617 0.36240538 185.93942
## 2982 0.36631828 0.36234713 186.05773
## 2682 0.36610438 0.36213189 186.49487
## 2742 0.36588728 0.36191343 186.93857
## 3062 0.36583757 0.36186341 187.04014
## 2813 0.36559136 0.36161566 187.54333
## 2691 0.36554991 0.36157395 187.62804
## 2954 0.36548504 0.36150867 187.76062
## 2719 0.36541660 0.36143980 187.90048
## 3044 0.36484985 0.36086950 189.05875
## 2801 0.36455525 0.36057305 189.66083
## 3072 0.36431722 0.36033353 190.14729
## 2652 0.36430893 0.36032519 190.16423
## 2998 0.36430135 0.36031756 190.17972
## 2991 0.36416700 0.36018237 190.45430
## 2802 0.36407101 0.36008578 190.65048
## 3046 0.36392481 0.35993867 190.94926
## 2974 0.36387539 0.35988894 191.05026
## 2681 0.36359896 0.35961077 191.61521
## 2643 0.36357917 0.35959086 191.65564
## 3182 0.36337164 0.35938203 192.07978
## 2701 0.36315758 0.35916663 192.51725
## 3003 0.36260740 0.35861300 193.64165
## 2892 0.36254596 0.35855117 193.76723
## 3058 0.36249341 0.35849829 193.87462
## 2984 0.36222398 0.35822717 194.42526
## 2732 0.36218473 0.35818768 194.50547
## 3193 0.36209892 0.35810133 194.68084
## 3183 0.36097318 0.35696853 196.98153
## 2664 0.36093190 0.35692700 197.06588
## 2708 0.36085426 0.35684887 197.22455
## 2904 0.36064396 0.35663725 197.65435
## 2823 0.36044886 0.35644093 198.05308
## 3195 0.35983834 0.35582658 199.30080
## 2756 0.35956402 0.35555055 199.86143
## 3007 0.35918801 0.35517217 200.62989
## 3202 0.35914643 0.35513033 200.71487
## 2945 0.35900457 0.35498759 201.00477
## 2975 0.35877915 0.35476075 201.46548
## 3018 0.35847442 0.35445411 202.08826
## 3047 0.35831211 0.35429079 202.41997
## 3212 0.35802949 0.35400640 202.99754
## 2727 0.35779815 0.35377361 203.47035
## 2638 0.35770758 0.35368248 203.65543
## 2873 0.35738654 0.35335941 204.31156
## 2889 0.35726646 0.35323858 204.55697
## 2923 0.35705520 0.35302600 204.98872
## 2989 0.35674399 0.35271284 205.62473
## 3065 0.35668481 0.35265329 205.74568
## 2804 0.35663313 0.35260129 205.85130
## 2933 0.35599497 0.35195913 207.15550
## 2675 0.35590581 0.35186941 207.33772
## 2893 0.35530841 0.35126826 208.55864
## 3184 0.35501021 0.35096820 209.16807
## 3077 0.35465190 0.35060765 209.90034
## 3027 0.35458126 0.35053656 210.04472
## 2901 0.35455677 0.35051191 210.09476
## 3049 0.35450848 0.35046333 210.19344
## 2648 0.35447964 0.35043431 210.25239
## 2656 0.35446797 0.35042256 210.27623
## 3008 0.35443465 0.35038903 210.34434
## 2924 0.35430294 0.35025649 210.61352
## 3087 0.35428960 0.35024307 210.64078
## 3009 0.35428757 0.35024103 210.64493
## 2747 0.35421546 0.35016847 210.79229
## 2687 0.35411659 0.35006898 210.99436
## 3020 0.35410041 0.35005269 211.02744
## 2729 0.35403772 0.34998961 211.15556
## 2994 0.35402099 0.34997278 211.18974
## 2676 0.35400123 0.34995289 211.23013
## 3037 0.35399157 0.34994317 211.24987
## 3078 0.35344234 0.34939050 212.37232
## 2692 0.35332738 0.34927482 212.60727
## 3017 0.35329903 0.34924630 212.66520
## 3108 0.35316757 0.34911401 212.93387
## 2672 0.35246229 0.34840431 214.37526
## 3186 0.35224324 0.34818389 214.82293
## 2713 0.35182626 0.34776429 215.67512
## 3098 0.35142209 0.34735759 216.50111
## 3198 0.35130011 0.34723485 216.75041
## 2914 0.35120496 0.34713910 216.94488
## 3238 0.35067371 0.34660452 218.03059
## 2959 0.35048621 0.34641584 218.41379
## 2744 0.35039125 0.34632029 218.60786
## 2639 0.35038138 0.34631036 218.62802
## 2950 0.35035025 0.34627903 218.69165
## 3205 0.34988150 0.34580735 219.64963
## 3248 0.34982007 0.34574553 219.77517
## 2673 0.34969018 0.34561482 220.04064
## 2938 0.34967768 0.34560225 220.06618
## 2684 0.34965211 0.34557652 220.11843
## 3080 0.34950476 0.34542825 220.41957
## 3068 0.34942753 0.34535053 220.57742
## 2992 0.34933208 0.34525448 220.77248
## 2909 0.34932657 0.34524893 220.78375
## 2697 0.34928454 0.34520664 220.86965
## 2965 0.34912545 0.34504656 221.19477
## 2890 0.34892558 0.34484543 221.60325
## 3030 0.34879474 0.34471377 221.87065
## 3154 0.34865830 0.34457648 222.14948
## 3109 0.34787054 0.34378378 223.75944
## 3063 0.34651094 0.34241567 226.53805
## 3187 0.34623208 0.34213505 227.10797
## 2658 0.34582773 0.34172818 227.93433
## 3118 0.34581267 0.34171301 227.96512
## 3164 0.34565506 0.34155442 228.28721
## 3028 0.34498994 0.34088513 229.64654
## 2694 0.34464932 0.34054238 230.34265
## 3012 0.34451361 0.34040582 230.62000
## 2911 0.34437598 0.34026732 230.90128
## 3023 0.34435031 0.34024149 230.95375
## 2947 0.34431869 0.34020967 231.01837
## 3011 0.34425201 0.34014258 231.15463
## 2653 0.34409361 0.33998318 231.47836
## 3102 0.34407048 0.33995991 231.52564
## 3092 0.34387957 0.33976780 231.91580
## 3227 0.34387047 0.33975864 231.93440
## 3239 0.34310790 0.33899130 233.49285
## 3217 0.34282720 0.33870884 234.06654
## 3128 0.34247103 0.33835044 234.79444
## 3218 0.34242293 0.33830203 234.89275
## 3189 0.34219274 0.33807041 235.36317
## 3241 0.34158391 0.33745776 236.60744
## 3203 0.34110407 0.33697491 237.58810
## 3114 0.34102010 0.33689042 237.75970
## 3155 0.34092909 0.33679883 237.94570
## 2929 0.34024329 0.33610874 239.34727
## 3208 0.34018624 0.33605133 239.46387
## 3083 0.33974834 0.33561069 240.35880
## 3099 0.33850313 0.33435767 242.90364
## 3220 0.33830612 0.33415943 243.30627
## 3014 0.33820720 0.33405989 243.50843
## 3033 0.33807261 0.33392446 243.78350
## 3266 0.33797165 0.33382286 243.98984
## 2926 0.33776353 0.33361344 244.41517
## 2895 0.33774726 0.33359706 244.44843
## 3103 0.33713943 0.33298542 245.69065
## 3232 0.33563132 0.33146787 248.77277
## 3276 0.33546237 0.33129785 249.11806
## 3133 0.33531851 0.33115310 249.41206
## 2678 0.33509440 0.33092757 249.87009
## 3111 0.33448501 0.33031437 251.11550
## 3160 0.33434176 0.33017022 251.40827
## 3134 0.33331035 0.32913235 253.51614
## 3143 0.33300438 0.32882446 254.14147
## 3244 0.33236270 0.32817876 255.45287
## 3100 0.33053405 0.32633865 259.19009
## 3175 0.32985765 0.32565801 260.57244
## 3124 0.32983396 0.32563417 260.62087
## 3267 0.32977372 0.32557356 260.74397
## 3253 0.32949755 0.32529565 261.30839
## 3169 0.32894957 0.32474424 262.42830
## 3259 0.32852027 0.32431225 263.30566
## 3157 0.32812952 0.32391905 264.10424
## 3223 0.32573515 0.32150968 268.99761
## 3148 0.32524746 0.32101894 269.99430
## 3119 0.32399625 0.31975988 272.55141
## 3121 0.32250981 0.31826413 275.58925
## 3105 0.32155081 0.31729911 277.54918
## 3281 0.32154422 0.31729249 277.56263
## 3139 0.32123747 0.31698381 278.18954
## 3272 0.32107569 0.31682101 278.52018
## 3136 0.31834920 0.31407744 284.09231
## 3287 0.31769471 0.31341885 285.42989
## 3294 0.31739811 0.31312039 286.03606
## 3269 0.31617199 0.31188659 288.54189
## 3384 0.45078773 0.44685072 15.42720
## 3403 0.45077542 0.44683833 15.45234
## 3329 0.45042895 0.44648938 16.16042
## 3331 0.44954389 0.44559796 17.96924
## 3310 0.44898319 0.44503325 19.11512
## 3386 0.44845415 0.44450042 20.19633
## 3334 0.44812345 0.44416735 20.87218
## 3313 0.44769555 0.44373638 21.74669
## 3375 0.44753048 0.44357013 22.08403
## 3394 0.44729114 0.44332907 22.57319
## 3396 0.44721858 0.44325599 22.72147
## 3543 0.44721811 0.44325551 22.72244
## 3389 0.44716985 0.44320691 22.82107
## 3387 0.44710528 0.44314188 22.95302
## 3320 0.44693131 0.44296666 23.30856
## 3404 0.44686961 0.44290452 23.43466
## 3405 0.44685860 0.44289343 23.45716
## 3524 0.44668335 0.44271692 23.81532
## 3332 0.44642863 0.44246038 24.33590
## 3378 0.44622834 0.44225865 24.74522
## 3390 0.44589295 0.44192086 25.43067
## 3399 0.44583040 0.44185786 25.55851
## 3323 0.44557353 0.44159915 26.08346
## 3406 0.44555109 0.44157654 26.12934
## 3335 0.44517183 0.44119456 26.90443
## 3315 0.44468803 0.44070730 27.89317
## 3526 0.44430783 0.44032438 28.67018
## 3325 0.44423942 0.44025547 28.81000
## 3306 0.44404290 0.44005755 29.21162
## 3579 0.44401488 0.44002933 29.26888
## 3336 0.44390551 0.43991917 29.49240
## 3534 0.44389242 0.43990598 29.51916
## 3316 0.44365151 0.43966335 30.01151
## 3544 0.44364563 0.43965743 30.02352
## 3536 0.44355272 0.43956385 30.21340
## 3545 0.44338903 0.43939899 30.54793
## 3380 0.44336160 0.43937137 30.60399
## 3515 0.44325348 0.43926246 30.82496
## 3391 0.44306146 0.43906906 31.21740
## 3527 0.44304125 0.43904872 31.25869
## 3397 0.44270592 0.43871098 31.94400
## 3529 0.44253007 0.43853387 32.30339
## 3570 0.44245526 0.43845852 32.45630
## 3580 0.44232332 0.43832564 32.72593
## 3381 0.44172947 0.43772753 33.93958
## 3584 0.44162054 0.43761782 34.16220
## 3400 0.44161055 0.43760775 34.18263
## 3539 0.44160251 0.43759966 34.19906
## 3588 0.44153420 0.43753086 34.33867
## 3546 0.44151695 0.43751349 34.37391
## 3518 0.44144000 0.43743599 34.53117
## 3530 0.44131550 0.43731059 34.78562
## 3401 0.44110350 0.43709708 35.21888
## 3326 0.44069764 0.43668831 36.04834
## 3572 0.44025704 0.43624454 36.94881
## 3581 0.44018097 0.43616793 37.10426
## 3419 0.43984359 0.43582813 37.79378
## 3409 0.43941578 0.43539725 38.66809
## 3537 0.43932826 0.43530911 38.84695
## 3427 0.43921415 0.43519418 39.08016
## 3369 0.43907554 0.43505457 39.36344
## 3359 0.43877644 0.43475333 39.97472
## 3423 0.43874229 0.43471894 40.04449
## 3575 0.43847782 0.43445257 40.58500
## 3520 0.43847333 0.43444805 40.59417
## 3582 0.43847044 0.43444513 40.60009
## 3531 0.43841254 0.43438683 40.71840
## 3573 0.43817035 0.43414290 41.21337
## 3368 0.43787212 0.43384253 41.82287
## 3349 0.43765840 0.43362727 42.25965
## 3540 0.43759698 0.43356541 42.38518
## 3352 0.43752124 0.43348913 42.53997
## 3370 0.43745960 0.43342706 42.66593
## 3644 0.43738847 0.43335541 42.81131
## 3663 0.43730430 0.43327064 42.98333
## 3418 0.43716604 0.43313138 43.26590
## 3586 0.43703699 0.43300141 43.52962
## 3340 0.43700717 0.43297138 43.59057
## 3361 0.43688542 0.43284876 43.83939
## 3412 0.43686646 0.43282966 43.87814
## 3521 0.43683644 0.43279943 43.93949
## 3541 0.43682154 0.43278442 43.96993
## 3420 0.43681011 0.43277291 43.99330
## 3424 0.43677667 0.43273923 44.06164
## 3576 0.43652664 0.43248741 44.57262
## 3411 0.43618867 0.43214701 45.26334
## 3425 0.43590642 0.43186274 45.84017
## 3362 0.43586169 0.43181769 45.93159
## 3585 0.43577857 0.43173397 46.10146
## 3699 0.43547432 0.43142755 46.72325
## 3559 0.43547148 0.43142468 46.72907
## 3646 0.43545974 0.43141285 46.75307
## 3567 0.43534954 0.43130186 46.97828
## 3587 0.43528233 0.43123418 47.11563
## 3355 0.43523798 0.43118950 47.20628
## 3635 0.43516736 0.43111838 47.35059
## 3371 0.43503110 0.43098114 47.62907
## 3656 0.43478648 0.43073477 48.12900
## 3690 0.43476173 0.43070985 48.17958
## 3647 0.43471881 0.43066662 48.26730
## 3415 0.43461541 0.43056248 48.47861
## 3421 0.43454762 0.43049419 48.61717
## 3343 0.43452210 0.43046849 48.66932
## 3654 0.43447231 0.43041835 48.77107
## 3549 0.43446455 0.43041053 48.78693
## 3665 0.43439887 0.43034438 48.92116
## 3700 0.43437305 0.43031837 48.97394
## 3649 0.43432693 0.43027193 49.06818
## 3563 0.43429081 0.43023555 49.14201
## 3364 0.43426346 0.43020800 49.19789
## 3351 0.43399959 0.42994223 49.73718
## 3664 0.43397530 0.42991778 49.78681
## 3638 0.43395705 0.42989939 49.82411
## 3414 0.43373936 0.42968015 50.26900
## 3577 0.43372156 0.42966221 50.30539
## 3650 0.43360613 0.42954595 50.54130
## 3426 0.43354700 0.42948640 50.66213
## 3365 0.43352420 0.42946344 50.70874
## 3659 0.43347716 0.42941606 50.80487
## 3704 0.43323198 0.42916913 51.30593
## 3666 0.43317907 0.42911584 51.41407
## 3692 0.43302317 0.42895882 51.73269
## 3564 0.43295061 0.42888573 51.88099
## 3708 0.43290258 0.42883737 51.97913
## 3701 0.43269143 0.42862470 52.41067
## 3594 0.43264599 0.42857893 52.50354
## 3560 0.43237781 0.42830883 53.05161
## 3552 0.43222595 0.42815588 53.36197
## 3558 0.43216229 0.42809177 53.49206
## 3591 0.43197521 0.42790334 53.87441
## 3695 0.43189230 0.42781985 54.04384
## 3565 0.43184028 0.42776746 54.15015
## 3346 0.43178719 0.42771398 54.25865
## 3763 0.43173388 0.42766029 54.36762
## 3702 0.43164365 0.42756941 54.55202
## 3354 0.43162177 0.42754738 54.59673
## 3640 0.43155021 0.42747530 54.74298
## 3590 0.43145114 0.42737552 54.94544
## 3356 0.43139811 0.42732211 55.05383
## 3693 0.43137628 0.42730012 55.09845
## 3366 0.43131150 0.42723488 55.23083
## 3651 0.43126078 0.42718380 55.33449
## 3551 0.43112496 0.42704701 55.61206
## 3754 0.43093734 0.42685804 55.99551
## 3416 0.43092443 0.42684504 56.02189
## 3764 0.43083231 0.42675225 56.21016
## 3657 0.43070807 0.42662713 56.46406
## 3345 0.43044253 0.42635968 57.00676
## 3768 0.43040188 0.42631874 57.08983
## 3595 0.43039038 0.42630715 57.11334
## 3696 0.43035798 0.42627453 57.17954
## 3772 0.43034129 0.42625771 57.21366
## 3641 0.43024433 0.42616005 57.41182
## 3660 0.42962460 0.42553589 58.67836
## 3661 0.42956564 0.42547651 58.79885
## 3706 0.42956096 0.42547179 58.80842
## 3561 0.42950780 0.42541825 58.91706
## 3555 0.42935512 0.42526447 59.22910
## 3756 0.42915633 0.42506426 59.63536
## 3765 0.42912931 0.42503705 59.69058
## 3592 0.42903835 0.42494543 59.87648
## 3566 0.42879892 0.42470429 60.36580
## 3707 0.42849748 0.42440068 60.98186
## 3697 0.42813686 0.42403749 61.71885
## 3554 0.42802734 0.42392718 61.94269
## 3705 0.42786379 0.42376246 62.27692
## 3757 0.42761235 0.42350921 62.79080
## 3766 0.42752219 0.42341841 62.97505
## 3759 0.42746579 0.42336160 63.09033
## 3770 0.42686182 0.42275330 64.32466
## 3679 0.42645640 0.42234498 65.15322
## 3593 0.42620272 0.42208947 65.67167
## 3760 0.42602232 0.42190778 66.04035
## 3769 0.42569525 0.42157837 66.70878
## 3669 0.42568686 0.42156992 66.72594
## 3687 0.42565922 0.42154209 66.78241
## 3785 0.42557122 0.42145345 66.96227
## 3556 0.42552847 0.42141039 67.04964
## 3781 0.42549580 0.42137749 67.11641
## 3495 0.42541976 0.42130091 67.27179
## 3771 0.42514948 0.42102869 67.82418
## 3459 0.42494512 0.42082287 68.24182
## 3440 0.42487160 0.42074882 68.39208
## 3683 0.42483140 0.42070833 68.47423
## 3711 0.42454932 0.42042422 69.05073
## 3486 0.42444592 0.42032009 69.26204
## 3672 0.42444549 0.42031965 69.26292
## 3714 0.42438091 0.42025461 69.39491
## 3680 0.42387035 0.41974039 70.43835
## 3684 0.42377696 0.41964633 70.62920
## 3761 0.42372510 0.41959410 70.73519
## 3782 0.42348982 0.41935713 71.21604
## 3710 0.42348382 0.41935109 71.22829
## 3685 0.42336024 0.41922662 71.48085
## 3496 0.42313374 0.41899850 71.94375
## 3500 0.42297670 0.41884033 72.26470
## 3671 0.42287651 0.41873943 72.46944
## 3445 0.42239790 0.41825738 73.44759
## 3675 0.42230474 0.41816355 73.63799
## 3715 0.42228132 0.41813997 73.68584
## 3712 0.42214479 0.41800246 73.96487
## 3678 0.42205058 0.41790758 74.15740
## 3491 0.42202901 0.41788585 74.20149
## 3783 0.42201990 0.41787667 74.22012
## 3434 0.42182221 0.41767756 74.62413
## 3504 0.42180219 0.41765741 74.66504
## 3681 0.42175144 0.41760629 74.76876
## 3455 0.42128077 0.41713224 75.73067
## 3686 0.42109429 0.41694443 76.11178
## 3498 0.42096053 0.41680971 76.38516
## 3674 0.42055412 0.41640039 77.21573
## 3446 0.42053764 0.41638378 77.24942
## 3784 0.42052285 0.41636889 77.27963
## 3786 0.42050991 0.41635586 77.30607
## 3607 0.42040550 0.41625070 77.51947
## 3778 0.42038129 0.41622631 77.56895
## 3775 0.42037269 0.41621765 77.58652
## 3450 0.42024071 0.41608473 77.85624
## 3462 0.42012051 0.41596367 78.10190
## 3713 0.42009854 0.41594155 78.14679
## 3598 0.41925098 0.41508790 79.87897
## 3492 0.41922825 0.41506501 79.92541
## 3676 0.41911933 0.41495531 80.14801
## 3779 0.41906984 0.41490546 80.24917
## 3774 0.41874566 0.41457897 80.91168
## 3612 0.41871796 0.41455107 80.96829
## 3460 0.41867989 0.41451273 81.04609
## 3608 0.41820131 0.41403071 82.02418
## 3776 0.41790530 0.41373258 82.62913
## 3616 0.41778691 0.41361334 82.87110
## 3503 0.41732419 0.41314730 83.81675
## 3625 0.41692848 0.41274876 84.62546
## 3603 0.41632098 0.41213690 85.86702
## 3629 0.41616506 0.41197986 86.18567
## 3465 0.41556028 0.41137074 87.42167
## 3610 0.41554100 0.41135133 87.46106
## 3506 0.41553065 0.41134090 87.48222
## 3777 0.41517951 0.41098725 88.19984
## 3507 0.41511071 0.41091796 88.34044
## 3510 0.41500704 0.41081354 88.55232
## 3327 0.41485138 0.41065677 88.87044
## 3475 0.41479462 0.41059960 88.98645
## 3787 0.41478494 0.41058985 89.00622
## 3307 0.41468800 0.41049222 89.20433
## 3479 0.41464276 0.41044665 89.29681
## 3488 0.41445801 0.41026058 89.67437
## 3501 0.41445016 0.41025267 89.69042
## 3456 0.41442263 0.41022494 89.74669
## 3442 0.41421833 0.41001918 90.16421
## 3382 0.41417864 0.40997921 90.24531
## 3483 0.41397596 0.40977507 90.65954
## 3431 0.41394075 0.40973961 90.73149
## 3604 0.41344441 0.40923971 91.74586
## 3626 0.41342296 0.40921811 91.78971
## 3452 0.41316673 0.40896004 92.31336
## 3497 0.41292053 0.40871207 92.81653
## 3511 0.41282608 0.40861695 93.00955
## 3615 0.41245207 0.40824025 93.77393
## 3443 0.41210768 0.40789339 94.47776
## 3372 0.41153213 0.40731372 95.65401
## 3474 0.41152379 0.40730532 95.67105
## 3461 0.41148732 0.40726859 95.74559
## 3308 0.41115559 0.40693449 96.42353
## 3471 0.41106513 0.40684338 96.60841
## 3718 0.41104330 0.40682138 96.65304
## 3489 0.41104313 0.40682122 96.65338
## 3727 0.41104074 0.40681881 96.65826
## 3628 0.41100801 0.40678585 96.72515
## 3509 0.41098426 0.40676192 96.77370
## 3470 0.41076333 0.40653941 97.22520
## 3436 0.41071876 0.40649452 97.31629
## 3613 0.41059025 0.40636509 97.57894
## 3477 0.41051417 0.40628847 97.73441
## 3630 0.41051260 0.40628688 97.73762
## 3480 0.41049498 0.40626914 97.77364
## 3383 0.41041601 0.40618960 97.93502
## 3622 0.40981303 0.40558230 99.16734
## 3745 0.40970300 0.40547148 99.39220
## 3618 0.40966365 0.40543185 99.47263
## 3482 0.40965609 0.40542424 99.48807
## 3392 0.40963266 0.40540064 99.53595
## 3619 0.40961551 0.40538336 99.57101
## 3728 0.40955287 0.40532027 99.69903
## 3732 0.40950161 0.40526864 99.80379
## 3447 0.40920889 0.40497383 100.40201
## 3723 0.40916471 0.40492933 100.49231
## 3302 0.40903522 0.40479891 100.75696
## 3600 0.40885977 0.40462220 101.11552
## 3402 0.40869695 0.40445822 101.44828
## 3318 0.40864759 0.40440850 101.54915
## 3502 0.40857238 0.40433275 101.70286
## 3749 0.40846787 0.40422749 101.91645
## 3373 0.40823814 0.40399612 102.38595
## 3493 0.40823050 0.40398842 102.40156
## 3623 0.40819574 0.40395342 102.47259
## 3736 0.40812862 0.40388582 102.60977
## 3730 0.40796660 0.40372263 102.94090
## 3437 0.40770397 0.40345812 103.47763
## 3309 0.40768400 0.40343801 103.51843
## 3317 0.40765849 0.40341232 103.57057
## 3609 0.40765242 0.40340620 103.58299
## 3330 0.40747077 0.40322325 103.95421
## 3385 0.40712804 0.40287806 104.65466
## 3631 0.40700884 0.40275801 104.89826
## 3746 0.40680494 0.40255264 105.31499
## 3724 0.40673164 0.40247882 105.46478
## 3457 0.40641695 0.40216187 106.10793
## 3328 0.40637410 0.40211871 106.19550
## 3522 0.40616534 0.40190846 106.62213
## 3748 0.40541760 0.40115536 108.15030
## 3601 0.40537907 0.40111655 108.22904
## 3311 0.40536677 0.40110417 108.25417
## 3789 0.40498246 0.40071710 109.03959
## 3621 0.40483324 0.40056681 109.34455
## 3735 0.40477836 0.40051154 109.45671
## 3453 0.40447530 0.40020630 110.07608
## 3508 0.40427654 0.40000612 110.48228
## 3467 0.40416237 0.39989113 110.71562
## 3793 0.40411476 0.39984318 110.81291
## 3468 0.40409187 0.39982013 110.85969
## 3614 0.40406199 0.39979003 110.92077
## 3374 0.40385912 0.39958570 111.33537
## 3476 0.40336824 0.39909131 112.33858
## 3512 0.40308768 0.39880874 112.91196
## 3303 0.40308050 0.39880151 112.92663
## 3627 0.40304618 0.39876694 112.99678
## 3750 0.40300146 0.39872190 113.08816
## 3532 0.40249467 0.39821148 114.12389
## 3481 0.40237752 0.39809349 114.36332
## 3376 0.40232707 0.39804268 114.46642
## 3321 0.40230011 0.39801552 114.52153
## 3523 0.40216920 0.39788367 114.78907
## 3790 0.40214329 0.39785758 114.84202
## 3605 0.40196585 0.39767887 115.20464
## 3312 0.40189259 0.39760508 115.35437
## 3720 0.40176031 0.39747186 115.62470
## 3542 0.40172289 0.39743416 115.70119
## 3739 0.40170116 0.39741228 115.74559
## 3733 0.40160074 0.39731114 115.95082
## 3395 0.40139213 0.39710103 116.37717
## 3388 0.40136120 0.39706989 116.44037
## 3333 0.40127607 0.39698414 116.61435
## 3738 0.40117253 0.39687986 116.82596
## 3742 0.40087413 0.39657932 117.43579
## 3792 0.40019770 0.39589804 118.81823
## 3751 0.40009872 0.39579835 119.02051
## 3729 0.40007666 0.39577613 119.06560
## 3794 0.39991028 0.39560856 119.40563
## 3513 0.39969202 0.39538874 119.85169
## 3743 0.39926358 0.39495722 120.72729
## 3472 0.39892507 0.39461629 121.41909
## 3319 0.39888430 0.39457522 121.50243
## 3525 0.39882206 0.39451254 121.62962
## 3721 0.39882189 0.39451237 121.62996
## 3620 0.39836498 0.39405219 122.56375
## 3304 0.39819661 0.39388260 122.90787
## 3393 0.39818159 0.39386748 122.93855
## 3741 0.39816098 0.39384672 122.98067
## 3377 0.39803065 0.39371546 123.24703
## 3568 0.39780296 0.39348614 123.71236
## 3747 0.39770409 0.39338656 123.91442
## 3578 0.39715553 0.39283407 125.03551
## 3314 0.39700804 0.39268551 125.33695
## 3796 0.39697908 0.39265635 125.39613
## 3337 0.39672483 0.39240028 125.91574
## 3725 0.39658159 0.39225601 126.20849
## 3734 0.39642488 0.39209817 126.52876
## 3348 0.39602215 0.39169256 127.35181
## 3407 0.39566526 0.39133311 128.08119
## 3357 0.39546817 0.39113461 128.48398
## 3417 0.39521234 0.39087694 129.00682
## 3398 0.39512113 0.39078508 129.19323
## 3795 0.39507547 0.39073909 129.28655
## 3514 0.39490047 0.39056284 129.64419
## 3367 0.39488703 0.39054930 129.67166
## 3408 0.39438736 0.39004605 130.69284
## 3305 0.39399453 0.38965040 131.49567
## 3535 0.39386386 0.38951880 131.76272
## 3347 0.39332276 0.38897382 132.86856
## 3379 0.39326845 0.38891912 132.97956
## 3324 0.39274668 0.38839361 134.04590
## 3791 0.39270547 0.38835211 134.13011
## 3322 0.39248873 0.38813381 134.57307
## 3569 0.39232214 0.38796603 134.91353
## 3516 0.39213345 0.38777598 135.29917
## 3740 0.39163392 0.38727287 136.32006
## 3338 0.39144933 0.38708696 136.69731
## 3528 0.39141265 0.38705002 136.77226
## 3533 0.39106191 0.38669676 137.48907
## 3422 0.39100710 0.38664156 137.60109
## 3350 0.39099484 0.38662921 137.62614
## 3339 0.39078855 0.38642145 138.04773
## 3438 0.38994679 0.38557365 139.76804
## 3410 0.38962977 0.38525435 140.41595
## 3358 0.38929672 0.38491892 141.09660
## 3571 0.38923545 0.38485721 141.22182
## 3360 0.38898998 0.38460998 141.72348
## 3484 0.38824552 0.38386018 143.24495
## 3583 0.38795780 0.38357040 143.83295
## 3428 0.38771111 0.38332195 144.33711
## 3517 0.38733794 0.38294610 145.09976
## 3494 0.38607269 0.38167178 147.68556
## 3448 0.38605836 0.38165734 147.71485
## 3557 0.38602065 0.38161936 147.79192
## 3538 0.38574766 0.38134441 148.34983
## 3547 0.38557736 0.38117289 148.69787
## 3439 0.38510127 0.38069340 149.67085
## 3548 0.38465264 0.38024155 150.58771
## 3642 0.38445373 0.38004121 150.99424
## 3458 0.38370664 0.37928876 152.52107
## 3632 0.38254929 0.37812312 154.88635
## 3562 0.38249785 0.37807131 154.99147
## 3341 0.38244373 0.37801680 155.10208
## 3353 0.38231925 0.37789143 155.35648
## 3519 0.38230711 0.37787920 155.38129
## 3485 0.38218873 0.37775998 155.62322
## 3342 0.38209231 0.37766286 155.82028
## 3574 0.38147129 0.37703740 157.08945
## 3413 0.38097003 0.37653254 158.11388
## 3643 0.38085077 0.37641242 158.35762
## 3432 0.37993548 0.37549058 160.22819
## 3633 0.37993486 0.37548995 160.22946
## 3652 0.37975415 0.37530794 160.59878
## 3550 0.37968695 0.37524026 160.73612
## 3363 0.37968290 0.37523618 160.74439
## 3596 0.37876582 0.37431252 162.61865
## 3589 0.37871974 0.37426611 162.71282
## 3688 0.37845517 0.37399965 163.25351
## 3645 0.37831319 0.37385665 163.54368
## 3662 0.37822437 0.37376720 163.72520
## 3444 0.37766550 0.37320432 164.86737
## 3499 0.37766405 0.37320286 164.87032
## 3698 0.37703604 0.37257035 166.15379
## 3606 0.37685106 0.37238404 166.53184
## 3634 0.37526518 0.37078679 169.77291
## 3344 0.37522382 0.37074514 169.85743
## 3490 0.37483344 0.37035196 170.65526
## 3429 0.37444029 0.36995599 171.45874
## 3433 0.37418124 0.36969509 171.98815
## 3463 0.37377894 0.36928990 172.81035
## 3689 0.37325531 0.36876252 173.88048
## 3636 0.37319771 0.36870450 173.99821
## 3597 0.37212908 0.36762821 176.18217
## 3655 0.37185501 0.36735218 176.74228
## 3648 0.37174516 0.36724155 176.96678
## 3473 0.37174089 0.36723724 176.97551
## 3505 0.37164295 0.36713860 177.17568
## 3464 0.37155382 0.36704882 177.35784
## 3454 0.37147448 0.36696893 177.51997
## 3441 0.37134411 0.36683761 177.78642
## 3449 0.37108600 0.36657765 178.31392
## 3691 0.37103148 0.36652274 178.42534
## 3752 0.36963938 0.36512066 181.27039
## 3611 0.36941381 0.36489348 181.73137
## 3487 0.36887107 0.36434685 182.84058
## 3553 0.36884736 0.36432297 182.88902
## 3762 0.36862493 0.36409894 183.34361
## 3637 0.36856304 0.36403661 183.47009
## 3478 0.36828061 0.36375216 184.04729
## 3430 0.36772287 0.36319042 185.18716
## 3624 0.36767516 0.36314236 185.28467
## 3653 0.36668070 0.36214078 187.31704
## 3703 0.36609538 0.36155126 188.51326
## 3451 0.36464926 0.36009477 191.46870
## 3658 0.36455915 0.36000402 191.65286
## 3639 0.36453908 0.35998380 191.69389
## 3694 0.36438147 0.35982506 192.01599
## 3753 0.36416760 0.35960966 192.45307
## 3667 0.36352203 0.35895946 193.77243
## 3668 0.36325112 0.35868662 194.32608
## 3677 0.36317752 0.35861249 194.47649
## 3602 0.36308853 0.35852285 194.65838
## 3755 0.36192458 0.35735056 197.03715
## 3617 0.36090155 0.35632019 199.12792
## 3767 0.35978193 0.35519256 201.41608
## 3469 0.35956328 0.35497234 201.86293
## 3670 0.35912183 0.35452772 202.76513
## 3709 0.35860356 0.35400574 203.82431
## 3716 0.35859006 0.35399214 203.85191
## 3682 0.35850022 0.35390166 204.03552
## 3435 0.35826407 0.35366382 204.51813
## 3599 0.35803848 0.35343661 204.97917
## 3466 0.35637128 0.35175746 208.38643
## 3726 0.35558304 0.35096357 209.99736
## 3758 0.35315512 0.34851824 214.95932
## 3717 0.35210266 0.34745824 217.11024
## 3780 0.35146906 0.34682009 218.40513
## 3673 0.34926065 0.34459585 222.91847
## 3744 0.34925494 0.34459010 222.93013
## 3773 0.34826415 0.34359221 224.95502
## 3731 0.34632857 0.34164275 228.91077
## 3722 0.34481539 0.34011872 232.00326
## 3737 0.33993388 0.33520222 241.97962
## 3719 0.33950944 0.33477474 242.84705
## 3788 0.33907124 0.33433340 243.74259
## 3828 0.45376722 0.44935817 11.33799
## 3809 0.45318477 0.44877102 12.52835
## 3864 0.45261713 0.44819879 13.68844
## 3855 0.45167408 0.44724813 15.61576
## 3869 0.45148728 0.44705983 15.99751
## 3819 0.45135048 0.44692192 16.27709
## 3865 0.45129118 0.44686214 16.39828
## 3873 0.45116533 0.44673527 16.65550
## 3829 0.45090402 0.44647185 17.18953
## 3811 0.45080514 0.44637218 17.39161
## 3821 0.45053917 0.44610406 17.93517
## 3800 0.45015333 0.44571510 18.72372
## 3830 0.45015120 0.44571296 18.72806
## 3812 0.44970373 0.44526188 19.64256
## 3857 0.44942665 0.44498256 20.20883
## 3814 0.44936675 0.44492218 20.33125
## 3866 0.44907167 0.44462472 20.93430
## 3824 0.44894637 0.44449841 21.19037
## 3928 0.44869080 0.44424077 21.71269
## 3803 0.44867389 0.44422372 21.74725
## 3831 0.44864276 0.44419234 21.81088
## 3815 0.44831728 0.44386423 22.47606
## 3933 0.44799104 0.44353536 23.14280
## 3860 0.44797528 0.44351948 23.17500
## 3937 0.44783414 0.44337720 23.46345
## 3858 0.44776968 0.44331222 23.59518
## 3867 0.44769990 0.44324188 23.73779
## 3919 0.44762269 0.44316404 23.89559
## 3929 0.44742132 0.44296105 24.30713
## 3870 0.44740787 0.44294748 24.33462
## 3871 0.44740404 0.44294363 24.34244
## 3822 0.44714329 0.44268077 24.87533
## 3861 0.44643916 0.44197096 26.31437
## 3872 0.44599159 0.44151978 27.22907
## 3805 0.44577485 0.44130129 27.67202
## 3825 0.44575802 0.44128432 27.70642
## 3816 0.44545262 0.44097646 28.33056
## 3921 0.44533501 0.44085789 28.57094
## 3930 0.44518399 0.44070566 28.87956
## 3946 0.44473621 0.44025426 29.79470
## 3950 0.44465455 0.44017194 29.96158
## 3826 0.44450794 0.44002415 30.26122
## 3806 0.44436072 0.43987574 30.56209
## 3934 0.44415748 0.43967086 30.97745
## 3935 0.44390763 0.43941899 31.48808
## 3922 0.44366940 0.43917884 31.97495
## 3862 0.44364376 0.43915299 32.02734
## 3924 0.44337815 0.43888524 32.57017
## 3931 0.44330523 0.43881173 32.71920
## 3947 0.44276756 0.43826972 33.81804
## 3852 0.44209838 0.43759514 35.18565
## 3844 0.44207272 0.43756928 35.23808
## 3936 0.44192736 0.43742274 35.53515
## 3951 0.44186481 0.43735969 35.66298
## 3925 0.44182242 0.43731695 35.74963
## 3834 0.44163574 0.43712876 36.13115
## 3848 0.44160705 0.43709984 36.18978
## 3876 0.44135259 0.43684333 36.70981
## 3879 0.44134769 0.43683839 36.71982
## 3875 0.44081501 0.43630141 37.80847
## 3849 0.44066811 0.43615332 38.10870
## 3948 0.44064810 0.43613315 38.14958
## 3880 0.44058042 0.43606492 38.28792
## 3837 0.43932738 0.43480177 40.84875
## 3973 0.43926003 0.43473388 40.98639
## 3850 0.43913325 0.43460608 41.24549
## 3843 0.43905014 0.43452230 41.41534
## 3845 0.43901541 0.43448728 41.48632
## 3926 0.43895309 0.43442446 41.61368
## 3964 0.43889213 0.43436301 41.73828
## 3949 0.43883631 0.43430674 41.85235
## 3978 0.43860360 0.43407215 42.32794
## 3974 0.43847386 0.43394136 42.59309
## 3877 0.43842989 0.43389704 42.68295
## 3836 0.43838870 0.43385552 42.76713
## 3982 0.43824231 0.43370795 43.06630
## 3943 0.43713266 0.43258933 45.33411
## 3966 0.43705215 0.43250818 45.49864
## 3940 0.43694341 0.43239856 45.72088
## 3840 0.43688658 0.43234127 45.83703
## 3991 0.43675380 0.43220742 46.10837
## 3944 0.43669100 0.43214411 46.23673
## 3975 0.43668756 0.43214065 46.24375
## 3846 0.43658395 0.43203619 46.45551
## 3851 0.43655669 0.43200872 46.51121
## 3995 0.43644177 0.43189287 46.74608
## 3939 0.43602938 0.43147715 47.58888
## 3878 0.43602619 0.43147393 47.59541
## 3839 0.43576388 0.43120951 48.13148
## 3969 0.43570518 0.43115033 48.25146
## 3967 0.43570267 0.43114780 48.25658
## 3976 0.43542793 0.43087084 48.81808
## 3980 0.43525355 0.43069506 49.17445
## 3992 0.43517956 0.43062047 49.32566
## 3979 0.43484613 0.43028435 50.00710
## 3970 0.43444831 0.42988332 50.82012
## 3941 0.43395850 0.42938956 51.82114
## 3981 0.43390386 0.42933447 51.93282
## 3952 0.43388818 0.42931867 51.96487
## 3996 0.43357232 0.42900026 52.61039
## 3993 0.43351850 0.42894600 52.72038
## 3841 0.43318660 0.42861142 53.39868
## 4008 0.43308721 0.42851123 53.60180
## 4012 0.43304727 0.42847097 53.68344
## 3994 0.43234600 0.42776404 55.11662
## 3971 0.43213503 0.42755136 55.54779
## 4009 0.43159874 0.42701075 56.64379
## 4013 0.43098338 0.42639042 57.90141
## 3942 0.43094039 0.42634709 57.98926
## 4010 0.42991488 0.42531329 60.08512
## 3985 0.42847220 0.42385897 63.03351
## 4011 0.42817937 0.42356378 63.63198
## 3892 0.42802087 0.42340400 63.95591
## 3988 0.42798020 0.42336300 64.03902
## 3910 0.42759362 0.42297330 64.82908
## 3989 0.42753628 0.42291549 64.94627
## 3883 0.42743798 0.42281640 65.14716
## 3897 0.42717465 0.42255095 65.68533
## 3984 0.42709044 0.42246606 65.85743
## 3914 0.42646145 0.42183199 67.14289
## 3997 0.42619416 0.42156255 67.68915
## 4015 0.42615422 0.42152228 67.77079
## 3893 0.42608525 0.42145276 67.91174
## 3986 0.42599402 0.42136079 68.09818
## 3901 0.42595279 0.42131923 68.18244
## 3911 0.42476394 0.42012078 70.61211
## 3888 0.42471895 0.42007542 70.70406
## 3987 0.42371368 0.41906204 72.75853
## 3895 0.42361039 0.41895792 72.96962
## 3915 0.42320976 0.41855406 73.78838
## 3954 0.42269254 0.41803266 74.84542
## 3913 0.42238127 0.41771888 75.48157
## 3889 0.42222265 0.41755898 75.80574
## 4014 0.42215881 0.41749463 75.93621
## 3958 0.42181223 0.41714524 76.64453
## 3900 0.42160333 0.41693465 77.07146
## 3898 0.42050992 0.41583242 79.30606
## 3955 0.41979037 0.41510706 80.77662
## 3959 0.41916129 0.41447291 82.06226
## 3807 0.41849170 0.41379791 83.43071
## 3903 0.41799984 0.41330208 84.43592
## 3904 0.41792871 0.41323038 84.58128
## 3916 0.41781210 0.41311282 84.81961
## 3885 0.41755657 0.41285524 85.34182
## 3907 0.41746592 0.41276385 85.52711
## 3961 0.41742894 0.41272658 85.60266
## 3957 0.41690911 0.41220255 86.66505
## 3908 0.41690243 0.41219581 86.67870
## 3797 0.41642068 0.41171018 87.66325
## 3817 0.41626512 0.41155336 87.98118
## 3894 0.41597395 0.41125984 88.57624
## 3853 0.41557467 0.41085733 89.39226
## 3827 0.41527028 0.41055049 90.01434
## 3808 0.41526551 0.41054568 90.02408
## 3912 0.41496986 0.41024765 90.62830
## 3863 0.41463062 0.40990566 91.32161
## 3886 0.41451915 0.40979330 91.54941
## 3999 0.41420088 0.40947246 92.19986
## 3899 0.41364239 0.40890946 93.34125
## 3906 0.41351217 0.40877819 93.60739
## 3798 0.41304309 0.40830532 94.56606
## 4003 0.41291741 0.40817862 94.82291
## 3960 0.41258570 0.40784424 95.50082
## 3810 0.41189270 0.40714564 96.91711
## 4000 0.41172208 0.40697365 97.26580
## 3854 0.41162108 0.40687183 97.47222
## 3890 0.41135196 0.40660054 98.02222
## 4006 0.41032575 0.40556604 100.11950
## 4004 0.41007723 0.40531552 100.62740
## 4002 0.40987687 0.40511355 101.03686
## 3868 0.40967165 0.40490666 101.45628
## 3956 0.40965925 0.40489417 101.48161
## 3799 0.40922007 0.40445144 102.37918
## 3820 0.40877098 0.40399873 103.29698
## 3856 0.40838479 0.40360942 104.08624
## 3818 0.40771234 0.40293154 105.46052
## 3917 0.40768659 0.40290559 105.51315
## 3905 0.40722259 0.40243784 106.46143
## 3801 0.40699926 0.40221270 106.91785
## 3927 0.40693551 0.40214845 107.04813
## 3813 0.40599174 0.40119706 108.97692
## 4016 0.40592458 0.40112935 109.11418
## 4005 0.40440254 0.39959502 112.22478
## 3918 0.40334579 0.39852975 114.38445
## 3802 0.40323425 0.39841731 114.61241
## 4001 0.40269420 0.39787290 115.71611
## 3932 0.40267444 0.39785297 115.75651
## 3859 0.40244669 0.39762339 116.22194
## 3823 0.40239678 0.39757308 116.32395
## 3920 0.40004680 0.39520412 121.12663
## 3832 0.39993966 0.39509613 121.34558
## 3842 0.39949707 0.39464996 122.25010
## 3833 0.39922404 0.39437473 122.80810
## 3804 0.39843583 0.39358016 124.41896
## 3874 0.39805359 0.39319483 125.20015
## 3945 0.39802951 0.39317055 125.24937
## 3847 0.39783858 0.39297808 125.63957
## 3835 0.39443907 0.38955113 132.58715
## 3881 0.39331422 0.38841721 134.88601
## 3923 0.39245707 0.38755314 136.63777
## 3891 0.39108923 0.38617425 139.43325
## 3938 0.38888080 0.38394800 143.94662
## 3909 0.38843374 0.38349733 144.86026
## 3882 0.38794870 0.38300838 145.85155
## 3962 0.38727383 0.38232806 147.23078
## 3896 0.38620993 0.38125557 149.40509
## 3972 0.38583198 0.38087457 150.17749
## 3838 0.38564793 0.38068903 150.55365
## 3963 0.38297912 0.37799868 156.00791
## 3965 0.38047490 0.37547425 161.12578
## 3887 0.38021404 0.37521128 161.65891
## 3977 0.38007576 0.37507189 161.94151
## 3953 0.37919522 0.37418424 163.74107
## 3990 0.37883050 0.37381657 164.48646
## 3902 0.37668180 0.37165053 168.87775
## 3884 0.37488158 0.36983578 172.55688
## 3968 0.37369136 0.36863596 174.98932
## 4007 0.37038526 0.36530317 181.74601
## 3983 0.36757221 0.36246741 187.49506
## 3998 0.35922706 0.35405490 204.55008
## 4028 0.45484055 0.44994684 11.14443
## 4033 0.45457864 0.44968257 11.67970
## 4037 0.45422874 0.44932953 12.39479
## 4019 0.45414612 0.44924618 12.56363
## 4029 0.45373936 0.44883576 13.39493
## 4046 0.45340721 0.44850063 14.07375
## 4050 0.45308543 0.44817596 14.73137
## 4021 0.45185766 0.44693717 17.24057
## 4047 0.45184689 0.44692630 17.26259
## 4051 0.45161687 0.44669422 17.73267
## 4034 0.45150075 0.44657706 17.96999
## 4030 0.45147801 0.44655412 18.01645
## 4035 0.45075860 0.44582825 19.48672
## 4022 0.45041554 0.44548211 20.18784
## 4024 0.45024561 0.44531065 20.53512
## 4031 0.44994904 0.44501142 21.14123
## 4048 0.44965674 0.44471650 21.73859
## 4063 0.44952421 0.44458277 22.00946
## 4067 0.44937647 0.44443371 22.31139
## 4036 0.44913993 0.44419504 22.79481
## 4025 0.44890698 0.44396001 23.27088
## 4068 0.44826013 0.44330734 24.59286
## 4049 0.44817913 0.44322562 24.75840
## 4064 0.44794231 0.44298668 25.24238
## 4026 0.44608156 0.44110922 29.04521
## 4065 0.44573228 0.44075681 29.75902
## 4070 0.44503386 0.44005212 31.18640
## 4066 0.44374509 0.43875178 33.82025
## 4040 0.44366167 0.43866761 33.99075
## 4044 0.44356809 0.43857319 34.18198
## 4043 0.44342137 0.43842515 34.48185
## 4039 0.44288291 0.43788186 35.58230
## 4052 0.44276914 0.43776707 35.81482
## 4041 0.44071963 0.43569916 40.00340
## 4073 0.44062935 0.43560807 40.18791
## 4077 0.44028623 0.43526187 40.88913
## 4074 0.43933252 0.43429960 42.83824
## 4078 0.43898434 0.43394829 43.54982
## 4069 0.43851365 0.43347338 44.51176
## 4042 0.43814324 0.43309964 45.26879
## 4075 0.43757063 0.43252189 46.43903
## 4080 0.43715889 0.43210646 47.28050
## 4076 0.43618269 0.43112149 49.27556
## 4082 0.43372441 0.42864115 54.29955
## 4054 0.43031130 0.42519740 61.27495
## 4079 0.42988855 0.42477085 62.13893
## 4058 0.42913627 0.42401182 63.67635
## 4061 0.42789535 0.42275976 66.21242
## 4055 0.42778427 0.42264768 66.43945
## 4059 0.42745010 0.42231051 67.12239
## 4057 0.42510031 0.41993963 71.92466
## 4071 0.42320028 0.41802254 75.80777
## 4060 0.42037921 0.41517615 81.57320
## 4017 0.41999891 0.41479244 82.35041
## 4027 0.41901197 0.41379664 84.36742
## 4056 0.41810204 0.41287854 86.22705
## 4018 0.41653326 0.41129567 89.43319
## 4032 0.41633347 0.41109410 89.84148
## 4045 0.41565928 0.41041385 91.21934
## 4081 0.41485050 0.40959781 92.87225
## 4020 0.41321771 0.40795037 96.20918
## 4062 0.40792774 0.40261291 107.02031
## 4023 0.40714538 0.40182353 108.61921
## 4038 0.40244946 0.39708545 118.21630
## 4053 0.39353563 0.38809160 136.43352
## 4072 0.38768319 0.38218663 148.39418
## 4084 0.45570377 0.45032438 11.38027
## 4088 0.45535816 0.44997535 12.08659
## 4089 0.45473733 0.44934839 13.35537
## 4085 0.45433917 0.44894629 14.16910
## 4091 0.45357378 0.44817334 15.73333
## 4086 0.45210998 0.44669507 18.72491
## 4087 0.45047094 0.44503984 22.07461
## 4093 0.44983000 0.44439256 23.38450
## 4090 0.44492252 0.43943658 33.41393
## 4094 0.44105683 0.43553268 41.31427
## 4092 0.43064003 0.42501293 62.60312
## 4083 0.42010572 0.41437451 84.13213
## 4095 0.45588983 0.45001814 13.00000
ols_step_best_subset(linFit) # The best subset regression for each p: still exponential with p
## Best Subsets Regression
## --------------------------------------------------------------------------------------------------------
## Model Index Predictors
## --------------------------------------------------------------------------------------------------------
## 1 rel
## 2 ps_arm rel
## 3 imp_rlg ps_arm rel
## 4 imp_rlg ps_arm el_fair rel
## 5 imp_rlg dut_ill ps_arm el_fair rel
## 6 imp_rlg dut_ill ps_arm el_fair trs_ntn rel
## 7 imp_rlg dut_ill ps_arm el_fair trs_ntn ps_lead rel
## 8 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn ps_lead rel
## 9 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead men_lead rel
## 10 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead rel
## 11 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 12 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## --------------------------------------------------------------------------------------------------------
##
## Subsets Regression Summary
## ---------------------------------------------------------------------------------------------------------------------------------------
## Adj. Pred
## Model R-Square R-Square R-Square C(p) AIC SBIC SBC MSEP FPE HSP APC
## ---------------------------------------------------------------------------------------------------------------------------------------
## 1 0.3060 0.3054 0.3035 297.3400 -2250.0421 -5443.5666 -2234.9655 8.8824 0.0079 0.0000 0.6965
## 2 0.3753 0.3741 0.3717 157.8031 -2366.3109 -5559.6642 -2346.2087 8.0031 0.0071 0.0000 0.6281
## 3 0.4014 0.3998 0.397 106.3970 -2412.3799 -5605.6479 -2387.2522 7.6752 0.0068 0.0000 0.6029
## 4 0.4210 0.4190 0.4155 68.2260 -2447.9400 -5641.0487 -2417.7868 7.4298 0.0066 0.0000 0.5841
## 5 0.4349 0.4324 0.4284 41.8893 -2473.2102 -5666.1338 -2438.0314 7.2584 0.0065 0.0000 0.5712
## 6 0.4415 0.4385 0.434 30.3778 -2484.4495 -5677.2625 -2444.2452 7.1799 0.0064 0.0000 0.5655
## 7 0.4465 0.4430 0.4379 22.2382 -2492.4883 -5685.1882 -2447.2584 7.1225 0.0064 0.0000 0.5615
## 8 0.4508 0.4469 0.4413 15.4272 -2499.2850 -5691.8555 -2449.0296 7.0734 0.0063 0.0000 0.5581
## 9 0.4538 0.4494 0.4432 11.3380 -2503.4048 -5695.8614 -2448.1239 7.0413 0.0063 0.0000 0.5560
## 10 0.4548 0.4499 0.4433 11.1444 -2503.6175 -5696.0151 -2443.3111 7.0338 0.0063 0.0000 0.5559
## 11 0.4557 0.4503 0.4429 11.3803 -2503.4003 -5695.7400 -2438.0683 7.0290 0.0063 0.0000 0.5560
## 12 0.4559 0.4500 0.4419 13.0000 -2501.7850 -5694.0930 -2431.4274 7.0329 0.0063 0.0000 0.5568
## ---------------------------------------------------------------------------------------------------------------------------------------
## AIC: Akaike Information Criteria
## SBIC: Sawa's Bayesian Information Criteria
## SBC: Schwarz Bayesian Criteria
## MSEP: Estimated error of prediction, assuming multivariate normality
## FPE: Final Prediction Error
## HSP: Hocking's Sp
## APC: Amemiya Prediction Criteria
#we re trying every subset of features to get the best model!
so here a reasonable approach would be to use the variables : imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn men_lead rel it explains 0.50.
linFit <- lm(HDI ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + trs_ntn + men_lead + rel, data=training)
summary(linFit)
##
## Call:
## lm(formula = HDI ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair +
## trs_ntn + men_lead + rel, data = training)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.259480 -0.041404 0.007111 0.053915 0.207031
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.637592 0.014735 43.271 < 2e-16 ***
## imp_rlg 0.014800 0.002576 5.745 1.19e-08 ***
## dut_ill 0.009100 0.002424 3.754 0.000183 ***
## ps_arm 0.023288 0.002596 8.970 < 2e-16 ***
## dut_chl 0.005530 0.002167 2.551 0.010859 *
## el_fair -0.014491 0.002472 -5.862 6.03e-09 ***
## trs_ntn -0.010572 0.002951 -3.582 0.000355 ***
## men_lead 0.007473 0.002711 2.756 0.005944 **
## rel 0.010576 0.001137 9.303 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.07938 on 1116 degrees of freedom
## Multiple R-squared: 0.4495, Adjusted R-squared: 0.4456
## F-statistic: 113.9 on 8 and 1116 DF, p-value: < 2.2e-16
Adjusted R-squared is equal to 0.486 which is the best one so far
predictions <- predict(linFit, newdata=testing)
cor(testing$HDI, predictions)^2
## [1] 0.4511275
RMSE <- sqrt(mean((predictions - testing$HDI)^2))
RMSE #ROOT MEAN SQUARED
## [1] 0.08222732
Using testing data we can see that the squared correlation is equal to 0.484 while the RMSE is equal to 0.0754.
ctrl <- trainControl(method = "repeatedcv",
number = 5, repeats = 1)
all models from OLS step are:
1 rel
2 dut_chl rel
3 imp_rlg dut_chl rel
4 imp_rlg dut_chl trs_ntn rel
5 imp_rlg ps_arm dut_chl trs_ntn rel
6 imp_rlg ps_arm dut_chl el_fair trs_ntn rel
7 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn rel
8 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn men_lead rel
9 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn men_lead el_brb rel
10 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead men_lead el_brb rel
11 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
12 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
model1 <- HDI ~ rel
model2 <- HDI ~ dut_chl + rel
model3 <- HDI ~ imp_rlg + dut_chl + rel
model4 <- HDI ~ imp_rlg + dut_chl + trs_ntn + rel
model5 <- HDI ~ imp_rlg + ps_arm + dut_chl + trs_ntn + rel
model6 <- HDI ~ imp_rlg + ps_arm + dut_chl + el_fair + trs_ntn + rel
model7 <- HDI ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + trs_ntn + rel
model8 <- HDI ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + trs_ntn + men_lead + rel
model9 <- HDI ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + trs_ntn + men_lead + el_brb + rel
model10 <- HDI ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + trs_ntn + ps_lead + men_lead + el_brb + rel
model11 <- HDI ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + el_thr + trs_ntn + ps_lead + men_lead + el_brb + rel
model12 <- HDI ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + job_men + el_thr + trs_ntn + ps_lead + men_lead + el_brb + rel
model1_c <- cat ~ rel
model2_c <- cat ~ dut_chl + rel
model3_c <- cat ~ imp_rlg + dut_chl + rel
model4_c <- cat ~ imp_rlg + dut_chl + trs_ntn + rel
model5_c <- cat ~ imp_rlg + ps_arm + dut_chl + trs_ntn + rel
model6_c <- cat ~ imp_rlg + ps_arm + dut_chl + el_fair + trs_ntn + rel
model7_c <- cat ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + trs_ntn + rel
model8_c <- cat ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + trs_ntn + men_lead + rel
model9_c <- cat ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + trs_ntn + men_lead + el_brb + rel
model10_c <- cat ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + trs_ntn + ps_lead + men_lead + el_brb + rel
model11_c <- cat ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + el_thr + trs_ntn + ps_lead + men_lead + el_brb + rel
model12_c <- cat ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + job_men + el_thr + trs_ntn + ps_lead + men_lead + el_brb + rel
Let’s start with an attempt from a model from the lower end of variables used.
lm_tune <- train(model5, data = training,
method = "lm",
preProc=c('scale', 'center'),
trControl = ctrl)
lm_tune
## Linear Regression
##
## 1125 samples
## 5 predictor
##
## Pre-processing: scaled (5), centered (5)
## Resampling: Cross-Validated (5 fold, repeated 1 times)
## Summary of sample sizes: 900, 900, 900, 900, 900
## Resampling results:
##
## RMSE Rsquared MAE
## 0.08138466 0.4176105 0.06283572
##
## Tuning parameter 'intercept' was held constant at a value of TRUE
predicting the model
test_results$lm <- predict(lm_tune, testing)
postResample(pred = test_results$lm, obs = test_results$HDI)
## RMSE Rsquared MAE
## 0.08682248 0.38777887 0.06658048
I will basically perform what is done by the olsrr package but doing this ensure the results are corrected and also defining the 12 models will be used again later on.
library(caret)
# Create a function to iterate through models and evaluate performance
evaluate_models <- function(models, training_data, testing_data) {
results <- data.frame(Model = character(), RMSE = numeric(), R_squared = numeric(), stringsAsFactors = FALSE)
for (i in 1:length(models)) {
model_name <- paste0("model", i)
model_formula <- as.formula(models[[i]])
# Train the model
lm_tune <- train(model_formula, data = training_data,
method = "lm",
preProc = c('scale', 'center'),
trControl = trainControl(method = "none"))
# Make predictions on testing data
test_results <- testing_data
test_results[[model_name]] <- predict(lm_tune, newdata = testing_data)
# Calculate RMSE and R-squared
rmse <- sqrt(mean((test_results$HDI - test_results[[model_name]])^2))
rsquared <- cor(test_results$HDI, test_results[[model_name]])^2
# Store results in a data frame
results[i, ] <- list(model_name, rmse, rsquared)
}
return(results)
}
# Usage of the function with your data
results <- evaluate_models(list(model1, model2, model3, model4, model5, model6, model7, model8, model9, model10, model11, model12), training, testing)
# Print the results
print(results)
## Model RMSE R_squared
## 1 model1 0.09255604 0.3048634
## 2 model2 0.09050949 0.3353899
## 3 model3 0.08755223 0.3781106
## 4 model4 0.08693434 0.3868008
## 5 model5 0.08682248 0.3877789
## 6 model6 0.08414899 0.4247354
## 7 model7 0.08265284 0.4450645
## 8 model8 0.08222732 0.4511275
## 9 model9 0.08222460 0.4511433
## 10 model10 0.08239192 0.4487985
## 11 model11 0.08211740 0.4525267
## 12 model12 0.08191701 0.4553961
It seems that the best in my test the model which perform best is the model 12 with 12 variables. It achieves a RMSE of 0.08144404 and a R-squared 0.4622049
So this means that error is very low, but the only about 46.22% of the variance in the dependent variable is explained by my model. WHY?
I narrowed it down to 3 reasons:
Unfortunately this will be repated in the conclusion because this won’t change for the model.
library(caret)
library(pROC)
## Type 'citation("pROC")' for a citation.
##
## Attaching package: 'pROC'
## The following object is masked from 'package:colorspace':
##
## coords
## The following objects are masked from 'package:stats':
##
## cov, smooth, var
# Create a function to iterate through models and evaluate performance
evaluate_models_classification <- function(models, training_data, testing_data) {
results <- data.frame(Model = character(), Accuracy = numeric(), AUC = numeric(), stringsAsFactors = FALSE)
for (i in 1:length(models)) {
model_name <- paste0("model", i)
model_formula <- as.formula(models[[i]])
# Train the model - using logistic regression (glm) for classification
glm_tune <- train(
model_formula,
data = training_data,
method = "glm",
family = "binomial",
trControl = trainControl(method = "none")
)
# Make predictions on testing data
test_results <- testing_data
test_results[[model_name]] <- predict(glm_tune, newdata = testing_data, type = "raw")
#test_results[[model_name]] <- factor(test_results[[model_name]], levels = c("low", "high"))
# Calculate accuracy and AUC for classification
accuracy <- confusionMatrix(test_results[[model_name]], testing_data$cat)$overall['Accuracy']
auc <- roc(test_results[[model_name]], as.numeric(testing_data$cat))$auc
# Store results in a data frame
results[i, ] <- list(model_name, accuracy, auc)
}
return(results)
}
# Usage of the function with your data for classification
results_classification <- evaluate_models_classification(list(model1_c, model2_c, model3_c, model4_c, model5_c, model6_c, model7_c, model8_c, model9_c, model10_c, model11_c, model12_c), training_cat, testing_cat)
## Setting levels: control = low, case = high
## Setting direction: controls < cases
## Setting levels: control = low, case = high
## Setting direction: controls < cases
## Setting levels: control = low, case = high
## Setting direction: controls < cases
## Setting levels: control = low, case = high
## Setting direction: controls < cases
## Setting levels: control = low, case = high
## Setting direction: controls < cases
## Setting levels: control = low, case = high
## Setting direction: controls < cases
## Setting levels: control = low, case = high
## Setting direction: controls < cases
## Setting levels: control = low, case = high
## Setting direction: controls < cases
## Setting levels: control = low, case = high
## Setting direction: controls < cases
## Setting levels: control = low, case = high
## Setting direction: controls < cases
## Setting levels: control = low, case = high
## Setting direction: controls < cases
## Setting levels: control = low, case = high
## Setting direction: controls < cases
# Print the results
print(results_classification)
## Model Accuracy AUC
## 1 model1 0.7013333 0.6928921
## 2 model2 0.7040000 0.6957547
## 3 model3 0.7280000 0.7209427
## 4 model4 0.7466667 0.7395803
## 5 model5 0.7333333 0.7255133
## 6 model6 0.7840000 0.7777859
## 7 model7 0.7946667 0.7887830
## 8 model8 0.7973333 0.7918928
## 9 model9 0.7973333 0.7918928
## 10 model10 0.7706667 0.7640889
## 11 model11 0.7680000 0.7613937
## 12 model12 0.7653333 0.7585797
For the categorical part we can see that in my opinion the best model is model10 because ti has an accuracy of 0.7440000 and a AUC of 0.7382353. So I’m, choosing this mostly based on the AUC as it represents the model’s ability to distinguish between positive and negative classes and having already worked with binary variables it’s very common to have a super great accuracy because the minority class is being treated mostly as a the majority class.
For this model I reckon this are very good metrics.
lm_tune <- train(model12, data = training,
method = "lm",
preProc=c('scale', 'center'),
trControl = ctrl)
lm_tune
## Linear Regression
##
## 1125 samples
## 12 predictor
##
## Pre-processing: scaled (12), centered (12)
## Resampling: Cross-Validated (5 fold, repeated 1 times)
## Summary of sample sizes: 900, 900, 900, 900, 900
## Resampling results:
##
## RMSE Rsquared MAE
## 0.07940315 0.4456581 0.06125305
##
## Tuning parameter 'intercept' was held constant at a value of TRUE
pr.simple = predict(lm_tune, newdata=testing)
cor(testing$HDI, pr.simple)^2
## [1] 0.4553961
qplot(test_results$lm, test_results$HDI) +
labs(title="Linear Regression Observed VS Predicted", x="Predicted", y="Observed") +
lims(x = c(0.50, 1), y = c(0.50, 1)) +
geom_abline(intercept = 0, slope = 1, colour = "blue") +
theme_bw()
## Warning: `qplot()` was deprecated in ggplot2 3.4.0.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
glm_tune <- train(
model10_c,
data = training_cat,
method = "glm",
family = "binomial",
trControl = trainControl(method = "none")
)
glm_tune
## Generalized Linear Model
##
## 1125 samples
## 10 predictor
## 2 classes: 'low', 'high'
##
## No pre-processing
## Resampling: None
pr.simple <-predict(glm_tune, newdata = testing_cat, type = "raw")
accuracy <- confusionMatrix(pr.simple, testing_cat$cat)$overall['Accuracy']
auc <- roc(pr.simple, as.numeric(testing_cat$cat))$auc
## Setting levels: control = low, case = high
## Setting direction: controls < cases
correlation_squared <- cor(as.numeric(testing_cat$cat), as.numeric(pr.simple))^2
print(accuracy)
## Accuracy
## 0.7706667
print(auc)
## Area under the curve: 0.7641
print("correalation squared")
## [1] "correalation squared"
print(correlation_squared)
## [1] 0.2779102
We can see how using the logistic regression we get some nice results
as the accuracy is 0.73 and AUC is 0.72.
The correlation squared is only 0.19
So we can say that:
The model seems to have moderate predictive performance.
It shows some capability to distinguish between classes, as indicated by the AUC.
The squared correlation suggests some alignment between predicted probabilities and actual classes but not extremely strong correlation.
alm_tune <- train(model12, data = training,
method = "lm",
preProc=c('scale', 'center'),
trControl = ctrl)
test_results$alm <- predict(alm_tune, testing)
postResample(pred = test_results$alm, obs = test_results$HDI)
## RMSE Rsquared MAE
## 0.08191701 0.45539612 0.06160363
RMSE 0.081 R^2 0.46
qplot(test_results$alm, test_results$HDI) +
labs(title="Linear Regression Observed VS Predicted", x="Predicted", y="Observed") +
lims(x = c(0.5, 1), y = c(0.5, 1)) +
geom_abline(intercept = 0, slope = 1, colour = "blue") +
theme_bw()
RMSE of 0.081 is encouraging but the Rsquared seems to keep being low. From the graph we can see that about half or 3/4 of the points are in the slope or in the immediate premises
for_tune <- train(model12, data = training,
method = "leapForward",
preProc=c('scale', 'center'),
tuneGrid = expand.grid(nvmax = 4:12),
trControl = ctrl)
for_tune
## Linear Regression with Forward Selection
##
## 1125 samples
## 12 predictor
##
## Pre-processing: scaled (12), centered (12)
## Resampling: Cross-Validated (5 fold, repeated 1 times)
## Summary of sample sizes: 900, 900, 900, 900, 900
## Resampling results across tuning parameters:
##
## nvmax RMSE Rsquared MAE
## 4 0.08132107 0.4219667 0.06283786
## 5 0.08036000 0.4363985 0.06221123
## 6 0.08024665 0.4386498 0.06172413
## 7 0.08004286 0.4421664 0.06161559
## 8 0.07969769 0.4478610 0.06125293
## 9 0.07964702 0.4488650 0.06137845
## 10 0.07960275 0.4498180 0.06134198
## 11 0.07939974 0.4523963 0.06117980
## 12 0.07940354 0.4522870 0.06116103
##
## RMSE was used to select the optimal model using the smallest value.
## The final value used for the model was nvmax = 11.
plot(for_tune)
We can see from the graph and from the values that for RMSE the best results are shown when using a high numbers of predictors, esepcially around 11 or 12.
coef(for_tune$finalModel, for_tune$bestTune$nvmax)
## (Intercept) imp_rlg dut_ill ps_arm dut_chl el_fair
## 0.783670222 0.015118175 0.009859288 0.019586005 0.006071118 -0.013180377
## job_men el_thr trs_ntn ps_lead men_lead rel
## 0.004784702 0.003379884 -0.008428836 0.007450509 0.005177334 0.026689618
test_results$frw <- predict(for_tune, testing)
postResample(pred = test_results$frw, obs = test_results$HDI)
## RMSE Rsquared MAE
## 0.08186455 0.45612020 0.06151297
RMSE 0.081 Rsquared 0.46
qplot(test_results$frw, test_results$HDI) +
labs(title="Forward Regression Observed VS Predicted", x="Predicted", y="Observed") +
lims(x = c(0.5, 1), y = c(0.5, 1)) +
geom_abline(intercept = 0, slope = 1, colour = "blue") +
theme_bw()
We can see that also this plot resembles a lot the other plot so a lot of points in the slope area, but some still way outside.
back_tune <- train(model12, data = training,
method = "leapBackward",
preProc=c('scale', 'center'),
tuneGrid = expand.grid(nvmax = 4:12),
trControl = ctrl)
back_tune
## Linear Regression with Backwards Selection
##
## 1125 samples
## 12 predictor
##
## Pre-processing: scaled (12), centered (12)
## Resampling: Cross-Validated (5 fold, repeated 1 times)
## Summary of sample sizes: 900, 900, 900, 900, 900
## Resampling results across tuning parameters:
##
## nvmax RMSE Rsquared MAE
## 4 0.08169983 0.4157196 0.06305385
## 5 0.08042768 0.4336901 0.06223977
## 6 0.08049531 0.4324574 0.06204983
## 7 0.08042639 0.4333720 0.06208811
## 8 0.08004892 0.4388785 0.06166004
## 9 0.07984105 0.4419107 0.06143507
## 10 0.07977917 0.4432478 0.06146127
## 11 0.07953340 0.4466468 0.06128155
## 12 0.07949764 0.4471015 0.06125481
##
## RMSE was used to select the optimal model using the smallest value.
## The final value used for the model was nvmax = 12.
plot(back_tune)
Again just like in the Forward regression it semes like the best numbebrs of predictors is still in the range of 10 to through 12
coef(back_tune$finalModel, back_tune$bestTune$nvmax)
## (Intercept) imp_rlg dut_ill ps_arm dut_chl el_fair
## 0.783670222 0.015021467 0.009775120 0.019538685 0.006097546 -0.012711288
## job_men el_thr trs_ntn ps_lead men_lead el_brb
## 0.004844864 0.002817670 -0.008399914 0.007390942 0.005165830 0.001705310
## rel
## 0.026723311
test_results$bw <- predict(back_tune, testing)
postResample(pred = test_results$bw, obs = test_results$HDI)
## RMSE Rsquared MAE
## 0.08191701 0.45539612 0.06160363
qplot(test_results$bw, test_results$HDI) +
labs(title="Backward Regression Observed VS Predicted", x="Predicted", y="Observed") +
lims(x = c(0.5, 1), y = c(0.5, 1)) +
geom_abline(intercept = 0, slope = 1, colour = "blue") +
theme_bw()
step_tune <- train(model12, data = training,
method = "leapSeq",
preProc=c('scale', 'center'),
tuneGrid = expand.grid(nvmax = 4:12),
trControl = ctrl)
plot(step_tune)
We can see that here is no different, 12 seems to still be the best number to minimize RMSE.
# which variables are selected?
coef(step_tune$finalModel, step_tune$bestTune$nvmax)
## (Intercept) imp_rlg dut_ill ps_arm dut_chl el_fair
## 0.783670222 0.015021467 0.009775120 0.019538685 0.006097546 -0.012711288
## job_men el_thr trs_ntn ps_lead men_lead el_brb
## 0.004844864 0.002817670 -0.008399914 0.007390942 0.005165830 0.001705310
## rel
## 0.026723311
test_results$seq <- predict(step_tune, testing)
postResample(pred = test_results$seq, obs = test_results$HDI)
## RMSE Rsquared MAE
## 0.08191701 0.45539612 0.06160363
RMSE 0.080 Rsquared 0.46
So in this section we will test a bit some basic alghoritms of machine learning. Here we will test both for continuos and categorical data the KNN,Random Forest and Gradient boosted.
modelLookup('kknn')
## model parameter label forReg forClass probModel
## 1 kknn kmax Max. #Neighbors TRUE TRUE TRUE
## 2 kknn distance Distance TRUE TRUE TRUE
## 3 kknn kernel Kernel TRUE TRUE TRUE
knn_tune <- train(model12,
data = training,
method = "kknn",
preProc=c('scale','center'),
tuneGrid = data.frame(kmax=c(11,13,15,19,21),distance=2,kernel='optimal'),
trControl = ctrl)
plot(knn_tune)
test_results$knn <- predict(knn_tune, testing)
postResample(pred = test_results$knn, obs = test_results$HDI)
## RMSE Rsquared MAE
## 0.08176358 0.46838972 0.06026141
RMSE 0.07773597 R-Squared 0.50091220. We can see that for the first time in this homework we achieve R-sqaured values of 0.5.
The combination of a low RMSE, a moderate Rsquared, and a low MAE suggests that the KNN model with kmax set to 21 is performing reasonably well. It’s providing reasonably accurate predictions while explaining a portion of the variability in the data. However, the Rsquared of 0.5 indicates that there still is unexplained variability.
knn_tune <- train(model10_c,
data = training_cat,
method = "kknn",
preProc = c('scale', 'center'),
tuneGrid = data.frame(kmax = c(11, 13, 15, 19, 21), distance = 2, kernel = 'optimal'),
trControl = ctrl)
plot(knn_tune)
test_results_cat$knn <- predict(knn_tune, testing_cat)
postResample(pred = test_results_cat$knn, obs = test_results_cat$cat)
## Accuracy Kappa
## 0.760000 0.497723
Interestingly we can see that here the #max neighbors is around 19 but after that 20 and 21 seems to be decreasing.
Here we can see an accuracy of 0.77 so quite high accuracy, while the kappa of 0.513 indicates a reasonable agreement between predicted and actual values beyond chance.
(If in doubt why specifically model10_c is because i tried what is going to come before doing this)
Just like in the regression I am going to try all 12 models both for classification and regression
library(caret)
evaluate_models_rf <- function(models, training_data, testing_data) {
results <- data.frame(Model = character(), RMSE = numeric(), R_squared = numeric(), stringsAsFactors = FALSE)
for (i in 1:length(models)) {
model_name <- paste0("model", i)
model_formula <- as.formula(models[[i]])
rf_tune <- train(model_formula,
data = training_data,
method = "rf",
preProc = c('scale', 'center'),
trControl = trainControl(method = "none"),
ntree = 100,
importance = TRUE)
# Make predictions on testing data
test_results <- testing_data
test_results[[model_name]] <- predict(rf_tune, newdata = testing_data)
# Calculate RMSE and R-squared
rmse <- sqrt(mean((test_results$HDI - test_results[[model_name]])^2))
rsquared <- cor(test_results$HDI, test_results[[model_name]])^2
# Store results in a data frame
results[i, ] <- list(model_name, rmse, rsquared)
}
return(results)
}
# Usage of the function with your data
results_rf <- evaluate_models_rf(list(model1, model2, model3, model4, model5, model6, model7, model8, model9, model10, model11, model12), training, testing)
# Print the results
print(results_rf)
## Model RMSE R_squared
## 1 model1 0.09301310 0.2972524
## 2 model2 0.09065894 0.3340129
## 3 model3 0.08707310 0.3921329
## 4 model4 0.08784526 0.3821805
## 5 model5 0.08700409 0.3932202
## 6 model6 0.08531879 0.4103383
## 7 model7 0.08373136 0.4309297
## 8 model8 0.08131743 0.4630770
## 9 model9 0.08016730 0.4779961
## 10 model10 0.07918707 0.4914035
## 11 model11 0.07954578 0.4871493
## 12 model12 0.07919023 0.4913210
And just like in the linear that the best values for RMSE and Rsquared are achieved by the model with more variables: especially by model11 and model12, the latter of the two does achieve for the first time a Rsquared of 0.51.
library(caret)
evaluate_models_rf_classification <- function(models, training_data, testing_data) {
results <- data.frame(Model = character(), Accuracy = numeric(), AUC= numeric(), stringsAsFactors = FALSE)
for (i in 1:length(models)) {
model_name <- paste0("model", i)
model_formula <- as.formula(models[[i]])
rf_tune <- train(
model_formula,
data = training_data,
method = "rf",
trControl = trainControl(method = "none"),
ntree = 100,
importance = TRUE
)
# Make predictions on testing data
test_results <- testing_data
test_results[[model_name]] <- predict(rf_tune, newdata = testing_data)
# Calculate accuracy and AUC for classification
confusion <- confusionMatrix(test_results[[model_name]], testing_data$cat)
accuracy <- confusion$overall['Accuracy']
# Calculate accuracy and AUC for classification
accuracy <- confusionMatrix(test_results[[model_name]], testing_data$cat)$overall['Accuracy']
auc <- roc(test_results[[model_name]], as.numeric(testing_data$cat))$auc
# Store results in a data frame
results[i, ] <- list(model_name, accuracy, auc)
}
return(results)
}
# Usage of the function with your data for classification
results_rf_classification <- evaluate_models_rf_classification(
list(model1_c, model2_c, model3_c, model4_c, model5_c, model6_c, model7_c, model8_c, model9_c, model10_c, model11_c, model12_c),
training_cat,
testing_cat
)
## Setting levels: control = low, case = high
## Setting direction: controls < cases
## Setting levels: control = low, case = high
## Setting direction: controls < cases
## Setting levels: control = low, case = high
## Setting direction: controls < cases
## Setting levels: control = low, case = high
## Setting direction: controls < cases
## Setting levels: control = low, case = high
## Setting direction: controls < cases
## Setting levels: control = low, case = high
## Setting direction: controls < cases
## Setting levels: control = low, case = high
## Setting direction: controls < cases
## Setting levels: control = low, case = high
## Setting direction: controls < cases
## Setting levels: control = low, case = high
## Setting direction: controls < cases
## Setting levels: control = low, case = high
## Setting direction: controls < cases
## Setting levels: control = low, case = high
## Setting direction: controls < cases
## Setting levels: control = low, case = high
## Setting direction: controls < cases
# Print the results
print(results_rf_classification)
## Model Accuracy AUC
## 1 model1 0.7013333 0.6924693
## 2 model2 0.7120000 0.7038296
## 3 model3 0.7226667 0.7155242
## 4 model4 0.7013333 0.6928921
## 5 model5 0.6933333 0.6841106
## 6 model6 0.7226667 0.7147670
## 7 model7 0.7600000 0.7530705
## 8 model8 0.7546667 0.7475613
## 9 model9 0.7466667 0.7392962
## 10 model10 0.7626667 0.7568794
## 11 model11 0.7680000 0.7613485
## 12 model12 0.7626667 0.7559064
Instead in the categorical part we can see that the best model are also the one with more variables the highest AUC are achieved by model10_c and model12_c at 0.76. Since we are already trying with 12 models in the continius data i decided to try the model with 10 variables for the classification with categorical data
rf_tune <- train(model12,
data = training,
method = "rf",
preProc=c('scale','center'),
trControl = ctrl,
ntree = 100,
tuneGrid = data.frame(mtry=c(1,3,5,7)),
importance = TRUE)
plot(rf_tune)
test_results$rf <- predict(rf_tune, testing)
postResample(pred = test_results$rf, obs = test_results$HDI)
## RMSE Rsquared MAE
## 0.07898315 0.49510089 0.06108232
We can see that working with continuos data there is not much to do, we still achieve a RMSE at around 0.0.077 and Rsquared 0.506.
plot(varImp(rf_tune, scale = F), scales = list(y = list(cex = .95)))
Interestingly here we can see the feature importance plot and we can see what are the most important variables for the random forest. At first place by far we can see the variable i created, “rel” (proxy for religion). I am going to skip over to the second one, and for the third we can see the variable that stand for “Votes are counted fairly”. At third we have another variable about the importance of religion and 5th and th are again 2 variables having to do with elections: bribing and threaten.
Interesting….
rf_tune <- train(model10_c,
data = training_cat,
method = "rf",
preProc=c('scale','center'),
trControl = ctrl,
ntree = 100,
tuneGrid = data.frame(mtry=c(1,3,5,7)),
importance = TRUE)
plot(rf_tune)
test_results_cat$rf <- predict(rf_tune, testing_cat)
postResample(pred = test_results_cat$rf, obs = test_results_cat$cat)
## Accuracy Kappa
## 0.7520000 0.4956397
As saw before the Accuracy is 0.77 and Kappa is 0.5305804.
plot(varImp(rf_tune, scale = F), scales = list(y = list(cex = .95)))
In the variable importance plot we can see a plot that mostly resembles what we saw before, but here we see that in third place we have ps_arm which stand for “Having the army rule the country”.
xgb_tune <- train(model12,
data = training,
method = "xgbTree",
preProc=c('scale','center'),
objective="reg:squarederror",
trControl = ctrl,
tuneGrid = expand.grid(nrounds = c(500,1000), max_depth = c(5,6,7), eta = c(0.01, 0.1, 1),
gamma = c(1, 2, 3), colsample_bytree = c(1, 2),
min_child_weight = c(1), subsample = c(0.2,0.5,0.8)))
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:06:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:03] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:03] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:06] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:08] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:12] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:13] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:14] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:16] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:24] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:30] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:30] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:38] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:38] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:07:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:03] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:06] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:08] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:12] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:12] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:13] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:13] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:14] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:14] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:16] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:16] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:24] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:30] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:30] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:38] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:08:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:03] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:03] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:06] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:08] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:12] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:13] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:14] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:16] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:24] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:30] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:38] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:38] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:09:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:03] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:06] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:08] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:12] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:13] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:13] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:14] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:14] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:16] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:16] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:24] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:30] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:30] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:38] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:10:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in nominalTrainWorkflow(x = x, y = y, wts = weights, info = trainInfo,
## : There were missing values in resampled performance measures.
## Warning in train.default(x, y, weights = w, ...): missing values found in
## aggregated results
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
test_results$xgb <- predict(xgb_tune, testing)
postResample(pred = test_results$xgb, obs = test_results$HDI)
## RMSE Rsquared MAE
## 0.1005894 0.1826034 0.0769478
RMSE 0.092 Rsquared 0.29
We can see that Xgboosted offers basically the worst performance of the models tried so far.
xgb_tune <- train(model10_c,
data = training_cat,
method = "xgbTree",
preProc=c('scale','center'),
objective="reg:squarederror",
trControl = ctrl,
tuneGrid = expand.grid(nrounds = c(500,1000), max_depth = c(5,6,7), eta = c(0.01, 0.1, 1),
gamma = c(1, 2, 3), colsample_bytree = c(1, 2),
min_child_weight = c(1), subsample = c(0.2,0.5,0.8)))
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:03] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:06] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:06] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:08] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:08] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:12] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:12] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:13] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:14] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:14] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:16] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:16] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:24] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:24] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:30] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:30] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:38] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:38] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:11:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:03] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:03] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:06] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:06] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:08] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:12] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:13] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:13] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:14] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:16] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:24] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:24] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:30] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:38] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:38] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:12:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:03] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:03] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:06] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:06] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:08] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:08] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:12] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:12] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:13] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:14] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:14] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:16] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:16] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:24] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:30] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:38] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:13:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:03] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:06] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:06] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:08] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:08] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:12] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:12] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:13] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:13] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:14] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:16] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:24] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:24] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:30] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:38] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## [18:14:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.
## Warning in nominalTrainWorkflow(x = x, y = y, wts = weights, info = trainInfo,
## : There were missing values in resampled performance measures.
## Warning in train.default(x, y, weights = w, ...): missing values found in
## aggregated results
## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.
test_results_cat$xgb <- predict(xgb_tune, testing_cat)
postResample(pred = test_results_cat$xgb, obs = test_results_cat$cat)
## Accuracy Kappa
## 0.7733333 0.5347870
plot(xgb_tune)
Accuracy 0.7813333 Kappa 0.5455620
Well it seems that with categoricl data we get way better results as we get out best kappa so far
apply(test_results[-1], 2, function(x) mean(abs(x - test_results$HDI)))
## lm alm frw bw seq knn rf
## 0.06658048 0.06160363 0.06151297 0.06160363 0.06160363 0.06026141 0.06108232
## xgb
## 0.07694780
test_results$comb = (test_results$alm + test_results$knn + test_results$rf)/3
postResample(pred = test_results$comb, obs = test_results$HDI)
## RMSE Rsquared MAE
## 0.07927237 0.49512871 0.05940904
We see that even using the ensemble with overfitted, knn and random forest we seem to still get results similar to the others models. a 0.076 RMSE and a 0.51 Rsquared.
yhat = test_results$comb
head(yhat)
## [1] 0.8300256 0.7653756 0.6906279 0.8720857 0.7614863 0.8143135
hist(yhat, col="lightblue")
as expected most of predictions are between 0.7 and 0.8. The rpoblem is that while we predict some values in the upper part, we don’t hardly predict anything under 0.65 and too much over 0.9.
y = test_results$HDI
error = y-yhat
hist(error, col="lightblue")
noise = error[1:100]
lwr = yhat[101:length(yhat)] + quantile(noise,0.05, na.rm=T)
upr = yhat[101:length(yhat)] + quantile(noise,0.95, na.rm=T)
predictions = data.frame(real=y[101:length(y)], fit=yhat[101:length(yhat)], lwr=lwr, upr=upr)
predictions = predictions %>% mutate(out=factor(if_else(real<lwr | real>upr,1,0)))
# how many real observations are out of the intervals?
mean(predictions$out==1)
## [1] 0.2436364
ggplot(predictions, aes(x=fit, y=real))+
geom_point(aes(color=out)) + theme(legend.position="none") +
xlim(0.5, 1) + ylim(0.5, 1)+
geom_ribbon(data=predictions,aes(ymin=lwr,ymax=upr),alpha=0.3) +
labs(title = "Prediction intervals", x = "prediction",y="real HDI")
We can see that as the rest of the work we are able to capture most of the data, but my prediction don’t capture the points under 0.65 and I predict too many over 0.875.
So when starting this project I definitely did not take in consideration some things.
So when using the full model I did not thought about the computational power needed to do some of the stuff required. For example just the imputation needed to run for nearly six hours. So i quickly realized that a sample was needed, first try was to use 150 records and 26 variables but the OLS_step was not able to finish even after 2 days of straight running on my pc. After that i tried with 150 records and 20 variables but the same happened. After other attempts I landed on 20 records per country and 15 variables from feature selection.
Continuos data:
I also thought I would get a lot better results, but the Rsquared has always ranged from 0.46 to less than 0.51 In the continuous data. At least the RMSE was fairly low averaging betwen 0.07 to 0.08
In the end in the ensemble I used the overfitted model, the KNN and the Random Forest and i obtained a Rsquared of 0.49 and RMSE of 0.08.
By the final graphs we can see that most of the predictions made but the model are between 0.7 and 0.8. So where the model is struggling is outside that range, especially under the 0.6 of HDI. If we look on the other half, so closer to the limit of 1 we can see that on the opposite the model is more predicting higher values that are non existing as for the real values are more common lower rather that higher values. This I don’t believe to be a bias based on the sample as we are taking 20 entries per country so all in all it should be balanced.
Categorical Data:
As for categorical data we can say similar things in the sense that the accuracy has ranged around 0.78 for all models.
At least we can say that an accuracy of nearly 0.8 is very good for using real world data.
Getting back to what we saw in the variable importance of the random forest.
For the continuos data we saw that the most important variable in feature importance is rel, the one i coded. The second is dut_ill that in the codebook is coded as : “Duty towards society to have children”. The third one as mentioned is towards fairness of elections. The fourth one is imp_rlg that is “Important in life: Religion”. Fifth one is ps_arm that as said before is the question about “Having the army rule the country”. Fifth and sixth are again two variables regarding the elections: “Voters are bribed” and “Voters are threatened with violence at the polls”.
For categorical data we have the same 6 out of the first 7 variables in feature importance. The new one we see here is: men_lead that in is the questions about : “On the whole, men make better political leaders than women do”
So with this considerations what can we say?
We can say that the biggest predictors to classify a high or low HDI based on a questionnaire is if a society has strong tendencies (high or low) towards: religion, birth rate, strong influence of the army in the political sphere, fairness (in various degree) of the elections.
We can see that if for example we take a society: very religious, high birth rate, where the army highly influence the poiltics, with not fair elections we get (mostly) a third world country where it is expected to have a low HDI.